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China has made significant advancements in artificial intelligence (AI) research and commercialization, particularly in speech and image recognition. This has led to the growth of the gig economy in China, with around 200 million workers in new forms of employment like food delivery and ride-hailing. China has implemented regulations on algorithms and platform work to balance efficiency and social stability, but the focus on economic growth over labor protection leaves workers vulnerable. The regulations cover areas such as talent, employment flexibility, labor standards, employee voice, and trade union initiatives, aiming to enhance AI development, protect workers' rights, and address concerns about social stability. However, enforcement has been weak, and the regulations may be more about containing labor unrest than protecting workers. The All-China Federation of Trade Unions (ACFTU) plays a role in platform labor regulation but is limited in its effectiveness due to the tight control of the Party-State. Journalists, researchers, and the public have been crucial in advocating for labor-friendly regulations. Overall, China's approach to AI workplace regulation balances efficiency with social stability but exposes workers to the challenges of techno-capitalism under an authoritarian regime, and the long-term effectiveness of these regulations remains uncertain. [Extracted from the article]

The internet of things (IoT) is a network of connected devices, enabling the exchange and collection of data from various environments. The routing protocol for low power and lossy networks (RPL) is a protocol for routing IPv6 over low-power wireless personal area networks, commonly used in IoT applications. However, RPL has several security and privacy issues that make it vulnerable to various attacks, including rank attacks (RA), which can lead to denial-of-service (DoS) scenarios. This research aims to address the impact of RA on RPL networks by conducting simulations using the Contiki/Cooja simulator with two topology types, random and grid, along with three RA scenarios and a normal network scenario. The study compares the performance of RPL network OF0 and MRHOF in terms of throughput, packet delivery ratio (PDR), hop count (HC) and delay. The results demonstrate that RA significantly degrades network performance and reduces network lifetime, thus draining its limited resources. Some possible solutions are also suggested to mitigate these attacks by focusing on core components of the network like objective function (OF) and node behavior. Future work will focus on studying security mechanisms for RPL against RA. [ABSTRACT FROM AUTHOR]

Summary RFC 8219 has defined a comprehensive benchmarking methodology for the IPv6 transition technologies. It recommends two kinds of measurement setups: The dual device under test (DUT) setup facilitates the benchmarking of the customer edge (CE) and provider edge (PE) devices together using a legacy RFC 2544 or RFC 5180 Network Performance Tester, whereas the single DUT setup requires a separate technology‐specific tester for the benchmarking of each device. As such, special‐purpose testers do not exist for the vast majority of the IPv6 transition technologies; the only viable solution can be the usage of the dual DUT setup. In this paper, we investigate if the two kinds of measurement setups provide the same or different results; moreover, we examine how the single DUT measurement results can be estimated from the dual DUT measurement results. To that end, we make theoretical considerations and also perform IPv4 packet forwarding and stateless IP/ICMP translation (SIIT) measurements using both measurement setups and analyze the results of the throughput and latency measurements. It was found that the throughput results of the dual DUT setup could approximate well those of the single DUT setup and their differences followed the predictions of our theoretical considerations. However, the latency results did not always follow the theoretical expectations. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) has been the subject of recent studies and is expected to be extremely important to the future growth of the Internet. The essential component of the IoT is the low-power and lossy networks (LLNs), which are necessary to connect hundreds or even thousands of devices. The IPv6 Routing Protocol for LLNs (RPL), the standard routing protocol for IoT, uses a variety of routing metrics to construct a destination-oriented directed acyclic graph (DODAG), which helps in selecting the Objective Function (OF). To designate the most efficient route to the destination, it must choose the best parent of the nodes. The two OFs used by the standard RPL have drawbacks as they only employ a single metric. As a result, several studies reveal RPL limitations, and just a few IoT applications gain from it. Therefore, in this paper, we will go over the drawbacks of using a single metric and the downsides of utilizing a composite metric by proposing an equilibrium optimizer-RPL (EO-RPL) protocol that selects the preferred parent using a novel optimization method known as an EO algorithm, which relies on a composite metric. The simulation results demonstrate that our novel OF outperforms its counterparts in terms of Packet Delivery Ratio (PDR), control overhead, end-to-end delay, and energy consumption. The results indicate that the average improvement ratios of the PDR of EO-RPL regarding Energy-based Path Cost-RPL (EPC-RPL), Energy Efficient RPL (E-RPL), and Energy Efficient Optimal Parent Selection-RPL (EEOPS-RPL) are 66.9%, 10.3%, and 8.3%, respectively. For control overhead, the improvement ratios of EO-RPL in comparison with EPC-RPL, E-RPL, and EEOPS-RPL are 37.7%, 22%, and 12.4%, respectively. Not only that but, the improvement ratios with regard to the end-to-end delay of EO-RPL are, in relation to EPC-RPL, E-RPL, and EEOPS-RPL, 77.06%, 45.6%, and 32.46%, correspondingly. Finally, for EPC-RPL, E-RPL, and EEOPS-RPL, the improvement ratios of EO-RPL are 16.09%, 14.1%, and 12.12% for energy consumption, respectively. [ABSTRACT FROM AUTHOR]

The majority of local IPv6 networks continue to remain insecure and vulnerable to neighbor spoofing attacks. The Secure Neighbor Discovery (SEND) standard and its concomitant Cryptographically Generated Addressing (CGA) scheme were accepted by large standard bodies to codify practical mitigations. SEND and CGA have never seen widespread adoption due to their complexities, obscurity, costs, compatibility issues, and continued lack of mature implementations. In light of their poor adoption, research since their standardization has continued to find new perspectives and proffer new ideas. The orthodox solutions for securing Neighbor Discovery have historically struggled to successfully harmonize three core ideals: simplicity, flexibility, and privacy preservation. This research introduces Voucher-Based Addressing, a low-configuration, low-cost, and high-impact alternative to IPv6 address generation methods. It secures the Neighbor Discovery address resolution process while remaining simple, highly adaptable, indistinguishable, and privacy-focused. Applying a unique concoction of cryptographic key derivation functions, link-layer address binding, and neighbor consensus on the parameters of address generation, the resolved address bindings are verifiable without the need for complex techniques that have hindered the adoption of canonical specifications. [ABSTRACT FROM AUTHOR]

The purpose of this study is to evaluate and compare how well different routing protocols perform in terms of load sharing, link failover, and overall network performance. Wireshark was used for packet-level analysis, VMWare was used for virtualization, GNS3 was used for network simulation, and Iperf3 was used to measure network performance parameters. Convergence time, packet losses, network jitter, and network delay are the parameters that were selected for assessment. To examine the behaviors of Open Shortest Path First (OSPF) and Enhanced Interior Gateway Routing Protocol (EIGRP) routing protocols in a variety of network settings, a simulated network environment incorporating both protocols along with Border Gateway Protocol (BGP) is created for the research. The setup for the experiment entails simulating different network conditions, such as fluctuating traffic loads and connection failures, to track how the protocols function in dynamic situations. The efficiency metrics for OSPF and EIGRP with BGP are measured and evaluated using the data generated by Wireshark and Iperf3. The results of this research show that EIGRP has a better failover convergence time and packet loss percentage as compared to the OSPF. [ABSTRACT FROM AUTHOR]

The past decade has witnessed a significant evolution in the role of the Internet, transitioning from individual connectivity to an integral aspect of various domains. This shift has prompted a move in IP paradigms from hierarchical to distributed architectures characterized by decentralized structures. This transition empowers efficient data routing and management across diverse networks. However, traditional distributed mobility management (DMM) protocols, reliant on tunneling mechanisms, incur overheads, costs, and delays, exacerbating challenges in managing the exponential growth of mobile data traffic. This research proposes Tunnel-Free Mobility for IPv6 (TFMIPv6) as a solution to address the shortcomings of existing DMM protocols. TFMIPv6 eliminates the need for tunneling, simplifying routing processes and reducing latency. A comprehensive cost analysis and performance evaluation are conducted, comparing TFMIPv6 with traditional protocols such as MIPv6, PMIPv6, FMIPv6, and HMIPv6. The study reveals significant improvements with TFMIPv6. Signaling costs are reduced by 50%, packet delivery costs by 23%, and tunneling costs are completely eliminated (100%). Real-world network traffic datasets are used for simulation, providing statistical evidence of TFMIPv6's efficacy in supporting an uninterrupted movement of IPv6 data across networks. [ABSTRACT FROM AUTHOR]

The wide-ranging applications of the Internet of Things (IoT) show that it has the potential to revolutionise industry, improve daily life, and overcome global challenges. This study aims to evaluate the performance scalability of mature industrial wireless sensor networks (IWSNs). A new classification approach for IoT in the industrial sector is proposed based on multiple factors and we introduce the integration of 6LoWPAN (IPv6 over low-power wireless personal area networks), message queuing telemetry transport for sensor networks (MQTT-SN), and ContikiMAC protocols for sensor nodes in an industrial IoT system to improve energy-efficient connectivity. The Contiki COOJA WSN simulator was applied to model and simulate the performance of the protocols in two static and moving scenarios and evaluate the proposed novelty detection system (NDS) for network intrusions in order to identify certain events in real time for realistic dataset analysis. The simulation results show that our method is an essential measure in determining the number of transmissions required to achieve a certain reliability target in an IWSNs. Despite the growing demand for low-power operation, deterministic communication, and end-to-end reliability, our methodology of an innovative sensor design using selective surface activation induced by laser (SSAIL) technology was developed and deployed in the FTMC premises to demonstrate its long-term functionality and reliability. The proposed framework was experimentally validated and tested through simulations to demonstrate the applicability and suitability of the proposed approach. The energy efficiency in the optimised WSN was increased by 50%, battery life was extended by 350%, duplicated packets were reduced by 80%, data collisions were reduced by 80%, and it was shown that the proposed methodology and tools could be used effectively in the development of telemetry node networks in new industrial projects in order to detect events and breaches in IoT networks accurately. The energy consumption of the developed sensor nodes was measured. Overall, this study performed a comprehensive assessment of the challenges of industrial processes, such as the reliability and stability of telemetry channels, the energy efficiency of autonomous nodes, and the minimisation of duplicate information transmission in IWSNs. [ABSTRACT FROM AUTHOR]

With the continuous development of information and communication network technology and data mining technology, an ICT routing algorithm based on improved k-means clustering algorithm and gray wolf optimization is proposed to improve the energy efficiency and extend the life cycle of wireless communication networks. Firstly, we model the atmospheric channel, design the topology of the tolerant network and optimize the routing algorithm to achieve the interoperability between multiple networks and break through the traditional network requirements for time and space constraints. Then we implement an IPv6-based soft router supporting Anycast routing protocol under Linux environment and propose a new Anycast routing implementation scheme. Finally, an ICT routing algorithm (KGRA algorithm) based on improved k-means clustering and gray wolf optimization is designed, which first clusters the sensor nodes in the monitoring area using the improved k-means clustering algorithm. The clusters formed by the improved k-means clustering algorithm are optimized, and then the grey wolf optimization algorithm with improved convergence factor is used to select the cluster heads in the optimized cluster area. Finally, the nodes in the monitoring area will send data to the aggregation nodes using single-hop intra-cluster and multi-hop inter-cluster transmission, thus increasing the survival period of the network and greatly reducing energy consumption while balancing the energy consumption of the network. [ABSTRACT FROM AUTHOR]

Summary: The fusion of drones with the Internet, termed the Internet of Drones (IoD), resembles the Internet of Things (IoT) paradigm. In IoD, drones necessitate unique identifiers similar to IPv6 addresses. This paper presents a novel approach for securing the duplicate address detection (DAD) process in the IoD environment. This paper focuses on addressing the security challenges posed by malicious drones in the DAD process. The proposed solution introduces a hidden DAD (H‐DAD) process, to mitigate attacks on the DAD process. In this scheme, drones transmit a transformed portion of their interface identifier (IID) while concealing the full IID, thus thwarting potential disruptions by malicious entities. We evaluated the effectiveness of the H‐DAD scheme through experimental analysis using Python with SimPy, comparing it with the Improved DAD, Secure DAD, and Standard DAD schemes. Our results demonstrate a notable improvement, with the Hidden DAD scheme achieving a 100% address success rate under attack. Moreover, it exhibits approximately 5% and 12% lower overhead and energy consumption, respectively, compared to the other schemes. [ABSTRACT FROM AUTHOR]

The shift towards IPv6 has led to the emergence of various IPv4-as-a-Service (IPv4aaS) transition technologies that allow the provisioning of IPv4 connectivity over IPv6 networks. The six main IPv4aaS mechanisms – 464XLAT, DS-Lite, Lightweight 4over6, MAP-E, MAP-T, and D4across6 – are compared in this study. We assess these protocols’ performance under a range of network situations using detailed simulation modeling in the ns-3 network simulator. With 100 nodes, we simulate an ISP-scale network architecture. We then configure several routing protocols, traffic patterns, connection delays, and implement each protocol according to its request for proposals. Different random seeds are used for each simulation run, and variables like packet sizes, routing protocols, and traffic loads are varied. The key performance parameters that are gathered are protocol overhead, packet loss, delay, and throughput. Important insights into the workings of each mechanism and how they tackle the problems of coexisting IPv4 and IPv6 under various network circumstances are provided by our thorough examination. The findings demonstrate how much better 464XLAT and D4across6 perform in most situations in terms of low latency, high throughput, minimal packet loss, and low overhead. This site may help network operators locate IPv4aaS solutions that meet their requirements and implementation procedures. Networking must alter transition technologies. This study improves comprehension of IPv4aaS protocols via trustworthy simulations. [ABSTRACT FROM AUTHOR]

IPv6-based IoT networks, i.e. 6LoWPAN network, require authentication for security. The existing authentication schemes on symmetric-key based approaches for 6LoWPAN consume huge computational and processing overhead in the literature. In a large network, pre-deployment of the key leads to huge memory consumption due to storing many keys. Furthermore, in asymmetric key cryptography, operations with the public key are computationally expensive, which is unsuitable for resource-constrained devices. We proposed a lightweight key exchange and authentication scheme for 6LoWPAN to mutually authenticate the sensor nodes, the gateway, and the server with less computational overhead and without compromising any security credentials. The authentication scheme helps to generate a session key without storing any secrets in the 6LoWPAN devices. We utilized a one-way hash function and XOR operation to reduce overhead in multi-hop communication. The AVISPA verification tool and the formal verification show that the proposed method is resistant to well-known attacks. The proposed scheme outperforms relevant methods in computational overhead, communication cost, and computation time. [ABSTRACT FROM AUTHOR]

With the fast growth of the Industrial Internet of Everything (IIoE), computing and telecommunication industries all over the world are moving rapidly towards the IPv6 address architecture, which supports virtualization architectures such as Network Function Virtualization (NFV). NFV provides networking services like routing, security, storage, etc., through software-based virtual machines. As a result, NFV reduces equipment costs. Due to the increase in applications on Industrial Internet of Things (IoT)-based networks, security threats have also increased. The communication links between people and people or from one machine to another machine are insecure. Usually, critical data are exchanged over the IoE, so authentication and confidentiality are significant concerns. Asymmetric key cryptosystems increase computation and communication overheads. This paper proposes a lightweight and certificateless end-to-end secure communication scheme to provide security services against replay attacks, man-in-the-middle (MITM) attacks, and impersonation attacks with low computation and communication overheads. The system is implemented on Linux-based Lubuntu 20.04 virtual machines using Java programming connected to NFV-based large-scale hybrid IPv4-IPv6 virtual networks. Finally, we compare the performance of our proposed security scheme with existing schemes based on the computation and communication costs. In addition, we measure and analyze the performance of our proposed secure communication scheme over NFV-based virtualized networks with regard to several parameters like end-to-end delay and packet loss. The results of our comparison with existing security schemes show that our proposed security scheme reduces the computation cost by 38.87% and the communication cost by 26.08%. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) and Machine to Machine (M2M) frameworks needs a straightforward admittance to data through a consistent incorporation into the Future Internet. The mentioned integration leads to improper foundation and administrations by IoT. The Web of Things (WoT) on other hand aims at connectivity of web thereby pushing the technology down to the devices and smart things that leads to pushing its innovation down to gadgets and shrewd things. The rapid development in communication network in the modern era has made people's life more convenience and easier. Internet Protocol (IP) addresses need to be sufficient to handle demands of numerous entities that communicates with each other having an infrastructure or without having an infrastructure. The manuscript presents Routing Virtualization (RV), where all three transition techniques work in one common Cisco core router. It is known that, the global addressing in computers are provided by IP version 4 (IPv4). The address pool of IPv4 is almost depleted as there is an increase in the user's day by day. As its design has outlived, IP version 6 (IPv6) which is an advanced version was permitted for use. IPv6 is therefore called as the next generation IP (IPng) is chosen from many projected options as an appropriate standby for IPv4. In spite of the fact that IPv4 and IPv6 work on same protocol, there are differences in them such as routing, administrative workload, addressing, network address translation (NAT) and security. For having a smooth transition to IPv6, all the transition mechanisms are considered as a set of methods for the same; unfortunately, not all of them are amenable to the users' option. Routing Virtualization, where all three transition techniques work in one common Cisco core router, has been proposed and implemented. The present and future Internet offer adaptable, broad, steady furthermore, tried conventions for hub and administration revelation, versatility, auto-arrangement and security that are likewise required for the IoT. The IoT is integrated to the Internet by this way by adapting, expanding, and connecting IPv6 the current IoT giving IoT6. This maintains the keeping up of the reverse similarity with heritage that are arranged and are inserted in to the frameworks from building and mechanical robotization. [ABSTRACT FROM AUTHOR]

The exponential increase in Internet-facing devices in the last decade has resulted in IP address exhaustion due to the limitations of the existing IPv4 address space. Therefore, the Internet Engineering Task Force engineered a new version of the Internet protocol known as Internet Protocol Version 6 (IPv6) to resolve the issue. However, IPv6 is highly dependent on the neighbor discovery protocol (NDP), which, unfortunately, has well-known vulnerabilities in its underlying messaging protocol, the Internet Control Message Protocol version 6. So, the NDP flaws leave the IPv6 network open to many security threats and attacks, including man-in-the-middle, spoofing, and denial-of-service attacks, which are the most annoying attack at the network layer. Unfortunately, one of the critical issues plaguing the existing anomaly-based detection system is the effectiveness of detecting NDP-based DDoS attacks, which requires urgent attention. This paper suggests a system to find network traffic patterns that are not normal that are caused by NDP-based attacks. It does this by teaching neural networks how to recognize network attack patterns using the backpropagation algorithm. The proposed system is a big step forward from where the field is now because it uses a complex neural network algorithm to create an NDP anomaly-based detection system. Using a real dataset to test the proposed system's performance shows that it can find NDP anomalies with a 99.95% success rate, a 99.92% precision rate, a 99.98% recall rate, an F1-Score of 99.98%, and a 0.040% false positive rate. Also, the proposed approach shows better results compared to other existing approaches. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) networks always operate within the context of diverse and constrained characteristics of the devices. Low-Power and Lossy Networks (LLNs) constitute a network architecture commonly utilized in IoT application deployments, facilitating networking and the establishment of paths for data transmission. The Routing Protocol for Low-Power and Lossy Networks (RPL) demonstrates promising capabilities for LLN network operations, supporting IPv4 and IPv6-enabled services. The RPL protocol constructs a Destination Oriented Directed Acyclic Graph (DODAG) logical routing topology based on defined Objective Function (OF) metrics. Routing operations within the DODAG utilize these metrics and constraints to select parent nodes and calculate optimal routes between two nodes. Standardized OFs have traditionally focused on either parent node selection or routing objectives within the DODAG, often treating load balancing and bottleneck optimization separately. However, their combined impact on RPL's effectiveness has been overlooked. This paper introduces an Adaptively Composite Objective Function (AC-OF) approach that considers the combined objectives of DODAG load balancing and optimized routing operations. Through simulation evidence, the paper presents improved network parameters. The AC-OF implementation brings out significant results in the form of a balanced DODAG topology and it has good impacts on data transmission, control overhead messages, parent switching, delay, energy consumption, and node lifetime. [ABSTRACT FROM AUTHOR]

Although wireless devices continuously gain communication capabilities, even state-of-the-art Industrial Internet of Things (IIoT) architectures, such as Internet Protocol version 6 over the Time-Slotted Channel Hopping (TSCH) mode of IEEE 802.15.4 (6TiSCH), continue to use network-wide, fixed link configurations. This presents a missed opportunity to (1) forego the need for rigorous manual setup of new deployments; and (2) provide full coverage of particularly heterogeneous and/or dynamic industrial sites. As such, we devised the Multi-Modal Minimal Scheduling Function (3MSF) for the TSCH link layer, which, combined with previous work on the routing layer, results in a 6TiSCH architecture able to dynamically exploit modern multi-modal hardware on a per-link basis through variable-duration timeslots, simultaneous transmission, and routing metric normalization. This paper describes, in great detail, its design and discusses the rationale behind every choice made. Finally, we evaluate three basic scenarios through simulations, showcasing both the functionality and flexibility of our 6TiSCH implementation. [ABSTRACT FROM AUTHOR]

With the expansion of network scale, new network services are emerging. Segment Routing over IPv6 (SRv6) can meet the diverse needs of more new services due to its excellent scalability and programmability. In the intelligent 6-Generation (6G) scenario, frequent SRv6 Traffic Engineering (TE) policy updates will result in the serious problem of unsynchronized updates across routers. Existing solutions suffer from issues such as long update cycles or large data overhead. To optimize the policy-update process, this paper proposes a scheme called Synchronous Update with the Division and Combination of SRv6 Policy (SUDC). Based on the characteristics of the SRv6 TE policy, SUDC divides the policies and introduces Bit Index Explicit Replication IPv6 Encapsulation (BIERv6) to multicast the policy blocks derived from policy dividing. The contribution of this paper is to propose the policy-dividing and combination mechanism and the policy-dividing algorithm. The simulation results demonstrate that compared with the existing schemes, the update overhead and update cycle of SUDC are reduced by 46.71% and 46.6%, respectively. The problem of unsynchronized updates across routers has been further improved. [ABSTRACT FROM AUTHOR]

Ensuring compliance with the stringent latency requirements of edge services requires close cooperation between the network and computing components. Within mobile 5G networks, the nomadic behavior of users may impact the performance of edge services, prompting the need for workload migration techniques. These techniques allow services to follow users by moving between edge nodes. This paper introduces an innovative approach for edge service continuity by integrating Segment Routing over IPv6 (SRv6) into the 5G core data plane alongside the ETSI multi-access edge computing (MEC) architecture. Our approach maintains compatibility with non-SRv6 5G network components. We use SRv6 for packet steering and Software-Defined Networking (SDN) for dynamic network configuration. Leveraging the SRv6 Network Programming paradigm, we achieve lossless workload migration by implementing a packet buffer as a virtual network function. Our buffer may be dynamically allocated and configured within the network. We test our proposed solution on a small-scale testbed consisting of an Open Network Operating System (ONOS) SDN controller and a core network made of P4 BMv2 switches, emulated using Mininet. A comparison with a non-SRv6 alternative that uses IPv6 routing shows the higher scalability and flexibility of our approach in terms of the number of rules to be installed and time required for configuration. [ABSTRACT FROM AUTHOR]

This work is to have a look at the successfulness of the PFMIPv6 protocol. EPMIPv6-AS over IEEE 802.11ax CMake delivers standard overall performance for advanced features like 4K or 8K films, increased capacity, high community apps, all wireless locations, and the Internet of Things (IoT) using Network Simulator (NS) version 3.36. The proxy mobile IPv6 for advanced sensor networks phase of the next-generation web protocol (EPMIPv6- AS) is an extension of the PFMIPv6 movability management. It permits nearby mobilitybased routing of IP datagrams to IPv6 hosts except station participation in the IP address signaling. A mobile node avoids the signaling expense and response times associated with modify IP addresses by maintaining its IP address while switching across links. Local mobility is still required, but IPv6 also adds additional specifications like Mobile Node, Advanced Sensor Mobile Access Gateway (ASMAG), and Advanced Sensor Local Mobility Anchor (ASLMA). While moving between serving networks during handover, the mobile station's IP remains consistent, hence location privacy may not be guaranteed. This paper carried out analytical comparison studies for the PFMIPv6 and EPMIPv6-AS mobile protocols. In order to compare costs, we raised the binding update cost value and packet delivery cost value. Wi-Fi 6 consumers in dense locations are available upgrades; it improves as high-efficient Wi-Fi. [ABSTRACT FROM AUTHOR]

Mobile IPv6 is a key technology to enable the mobility of devices on next-generation internet protocol networks. Home agents provide simple services to registered mobile nodes. In addition, the use of multiple domestic operators for load-balancing devices faces problems of synchronization and signalling overhead. Thus, most of the existing load balancing methods present a significant delay in the transmission of data packets. The machine learning approach provides an efficient hardware storage solution for balancing the load of the home agent by improving the state-work schedule. It provides a method for dynamic load balancing based on the research-consumption system. Thus, the present paper investigates the use of machine learning, specifically reinforcement learning, to enhance home agent load balancing in next-generation IP traffic. The reinforcement learning-based home agent decisions, guided by mobile node speed and registration queries, reduce latency, improve network performance, and provide dynamic solutions. The proposed method significantly reduces the delay for packet delivery by balancing the home agent load with the incorporation of reward parameters. The empirical investigation found a remarkable improvement in network reliability, as manifested by a 2.31% increase in packet delivery ratio compared to systems with existing methods. [ABSTRACT FROM AUTHOR]

The Computing Network is an emerging network paradigm that aims to realize computing resource scheduling through the intrinsic capabilities of the network. However, existing resource scheduling architectures based on conventional TCP/IP networks for the Computing Network suffer from deficiencies in routing flexibility and a lack of user preference awareness, while Information-Centric Networking (ICN) holds the potential to address these issues. ICN inherently supports dynamic routing in scenarios such as multi-homing and mobility due to its routing mechanism that is based on content names rather than host addresses, and it is further enhanced by the integration with Software-Defined Networking (SDN) technologies, which facilitate convenient network-layer route readdressing, thus offering a conducive environment for flexible routing scheduling. Furthermore, ICN introduces novel routing protocols that, compared with the more rigid protocol designs in conventional TCP/IP networks, offer greater flexibility in field usage. This flexibility allows for the incorporation of customized fields, such as "preference", enabling the perception of user preferences within the network. Therefore, this paper proposes a novel ICN-based on-path computing resource scheduling architecture named IPCRSA. Within this architecture, an original design for computing resource request packet format is developed based on the IPv6 extension header. Additionally, preference-based computing resource scheduling strategies are incorporated, which employ the technique for order preference by similarity to ideal solution (TOPSIS) combined with the entropy weight method, to comprehensively evaluate computing resource nodes and use a roulette-selection algorithm to accomplish the probability selection of destination nodes. Experimental results indicate that, in comparison to alternative scheduling schemes, IPCRSA exhibits significant advantages in enhancing scheduling flexibility, improving scheduling success rates, and catering to diverse user requirements. [ABSTRACT FROM AUTHOR]

Ultra-Reliable and Low-latency Communication (URLLC) is one of the three major characteristics of 5G mobile communication systems, and mobility enhancement is a key technology to achieve ultra-high reliability and low-latency characteristics. The 5G for Railways (5G-R) network also has those requirements, to provide reliable connectivity and enhanced performance for safe and efficient railways. During the high-speed operation of trains, the user equipment (UE) needs to continuously handover between adjacent cells. This paper mainly discusses the application scenarios of three functions of the mobility enhancement technology, conditional handover, dual active protocol stack and fast handover failure recovery, in the 5G-R network. According to the working mechanism of these three functions and the characteristics of the 5G-R network coverage model, this paper believes that the dual active protocol stack and fast handover failure recovery have good application value in reducing service interruption delay and ensuring train operation safety. [ABSTRACT FROM AUTHOR]

In high-mobility scenarios, a user's media experience is severely constrained by the difficulty of network channel prediction, the instability of network quality, and other problems caused by the user's fast movement, frequent base station handovers, the Doppler effect, etc. To this end, this paper proposes a video adaptive transmission architecture based on three-dimensional caching. In the temporal dimension, video data are cached to different base stations, and in the spatial dimension video data are cached to base stations, high-speed trains, and clients, thus constructing a multilevel caching architecture based on spatio-temporal attributes. Then, this paper mathematically models the media stream transmission process and summarizes the optimization problems that need to be solved. To solve the optimization problem, this paper proposes three optimization algorithms, namely, the placement algorithm based on three-dimensional caching, the video content selection algorithm for caching, and the bitrate selection algorithm. Finally, this paper builds a simulation system, which shows that the scheme proposed in this paper is more suitable for high-speed mobile networks, with better and more stable performance. [ABSTRACT FROM AUTHOR]

The RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) protocol is essential for efficient communication within the Internet of Things (IoT) ecosystem.Despite its significance, RPL's susceptibility to attacks remains a concern. This paper presents a comprehensive simulation-based analysis of the RPL protocol's vulnerability to the decreased rank attack in both static and mobile network environments.We employ the RandomDirectionMobility Model (RDM) for mobile scenarios within the Cooja simulator. Our systematic evaluation focuses on critical performance metrics, including Packet Delivery Ratio (PDR), Average End to End Delay (AE2ED), throughput, Expected Transmission Count (ETX), and Average Power Consumption (APC). Our findings illuminate the disruptive impact of this attack on the routing hierarchy, resulting in decreased PDR and throughput, increased AE2ED, ETX, and APC. These results underscore the urgent need for robust security measures to protect RPLbased IoT networks. Furthermore, our study emphasizes the exacerbated impact of the attack in mobile scenarios, highlighting the evolving security requirements of IoT networks. [ABSTRACT FROM AUTHOR]

Summary: Connectivity in satellite networks is governed by the spacecraft nodes' orbital dynamics together with the planet's continuous rotation where ground nodes are located. The resulting time‐dynamic but predictable topology demands the design of specific distributed routing schemes. However, terrestrial Internet routing schemes' maturity, proven scalability, and efficiency shall be leveraged whenever possible to facilitate space‐terrestrial integration while reducing risk and costs. In line with this reflection, we introduce SATNET‐OSPF: a backward‐compatible satellite extension for the widely used Open Shortest Path First routing protocol. The key features of SATNET‐OSPF are (a) accurate routing interface mapping to inter‐satellite links and ground‐to‐satellite links, (b) accelerated link‐up/link‐down event detection adapted to space‐specific wireless technologies, (c) proactive routing and forwarding mechanism to take advantage of predicted link‐down events, and (d) low memory footprint topology model to efficiently propagate the forthcoming space connectivity events via constrained telecommand links. Leveraging existing IPv6 and OSPFv3 open‐source stacks, we implemented SATNET‐OSPF in an actual space router comprising a space‐grade SPARC V8 CPU and a radiation‐hardened FPGA. Furthermore, we present the details of an emulation test bench supporting various configurations with COTS terrestrial OSPF routers that enabled a realistic performance evaluation of the SATNET‐OSPF. Results show that SATNET‐OSPF reduced OSPFv3 routing protocol overhead by up to 31%; shortened the link event detection delay by four orders of magnitude; decreased the routing outage by a factor of 22; and ensured flooding control message generation and forwarding times, as well as routing computing time, satisfy the original requirements (192, 37, and 17 ms, respectively). [ABSTRACT FROM AUTHOR]

With the transition to IPv6, addressing constraints that necessitated a common security architecture under network address translation (NAT) are no longer present. Instead, manufacturers are now able to choose between an openmodel design, where devices are end-to-end reachable, or a more familiar closedmodel, where the home gatewaymay continue to serve as a perimeter security device. The potential for further nuance, such as differences in default access control policies, filtering behaviors, and IPv6 specific requirements, present an environment defined by ambiguity. For the consumer, the potential impact of these changes are unclear. To address this uncertainty, we taxonomize the present NAT-centric model of consumer gateway security through a survey of over 300 common vulnerabilities and exposures surrounding NAT and hole punching protocols. From this survey, we contextualize the limited security NAT has provided while serving as the primary perimeter defensemechanism in home networks. We further define how this baseline security model for consumer gateways is reflected in IPv6 through an assessment of ten commonly deployed consumer gateways. Our conclusion is that familiarity of a NAT-centric design is no longer assured for IPv6, requiring an active involvement by users to limit exposures within their home networks. [ABSTRACT FROM AUTHOR]

Instructing and adjusting information is required to protect stakeholders during a crisis. However, it is unwise to assume that people, especially young adults, automatically follow the information once it is provided. Using a 2 (interactivity: low [email] vs. high [mobile app]) × 2 (vividness: low [text‐only] vs. high [infographic]) between‐subject lab experiment, this study found that infographics were effective in improving self‐efficacy, proxy efficacy, and trust in the organization. In addition, an interaction was observed between interactivity and vividness on participants' intention to follow instructing and adjusting information. The findings of this study provide evidence of the advantage of using infographics during a crisis. [ABSTRACT FROM AUTHOR]

Internet of Things is an emerging paradigm based on interconnecting physical and virtual objects with each other and to the Internet. Most connected things fall into the category of constrained devices, with restricted resources (processing power, memory, and energy). These low‐power and lossy networks (LLNs) are known for their instability, high loss rates and low data rates, which makes routing one of the most challenging problems in low‐cost communications. A routing protocol for low‐power and lossy networks (RPL) is a proactive dynamic routing protocol based on IPv6. This protocol defines an objective function (OF) that utilises a set of metrics to select the best possible path to the destination. Minimum rank hysteresis objective function (MRHOF) and objective function zero (OF0) are the most basic OFs, where the first one selects the path to the sink based on the expected transmission count (ETX) metric, and OF0 is based on the hop count (HC). These two metrics prioritise either brute performance (i.e. ETX) or simplicity (i.e. HC). Therefore, using a single metric with an OF can either limit the performance or have an inefficient impact on load management and energy consumption. To overcome these challenges, a routing metric based on MRHOF OF which takes into consideration the link‐based routing metric (i.e. ETX) and node‐based metric (i.e. remaining energy) for route selection is provided. Expected transmission count remaining energy (ETXRE) is evaluated through 36 scenarios with different parameters. Preliminary results show that ETXRE outperforms ETX and RE in terms of end‐to‐end delay by an average of at least 17%, packet delay by 13% and consumes 10% less energy. [ABSTRACT FROM AUTHOR]

In vehicular ad hoc network (VANET) with multihoming, each vehicle is configured with multiple care-of addresses with different network prefixes. As a main part of the handover, the care-of address configuration occupies a large proportion of the handover latency, so VANET with multihoming suffers from substantial handover latency. This paper focuses on the handover in VANET with multihoming and aims to reduce the handover latency. In this paper, the architecture of VANET with multihoming is presented and based on this architecture the address separation mechanism is proposed to solve the address configuration issue. In this mechanism, the node ID in one address is separated from the network prefix. In this way, each vehicle is independently configured with a globally unique node ID only once during its lifetime and then combines its node ID with the network prefixes to construct multiple addresses. Based on this mechanism, the handover algorithm is proposed. In this algorithm, a vehicle achieves the handover without performing care-of address configuration, so the handover latency is reduced. The experimental results demonstrate the feasibility and superiority of the proposal. [ABSTRACT FROM AUTHOR]

A Routing Protocol for Low-power-lossy (RPL) networks builds a Destination Oriented Directed Acyclic Graph (DODAG) to provide IPv6 connectivity for resource-constrained devices over a large variety of low-power-lossy link layer technologies. Each RPL node maintains a rank value, which quantizes its relative topological distance from the DODAG root and is calculated based on the rank of its preferred parents and the objective function being employed. The RPL routing process does not impose any check to monitor the action and conduct of the parent nodes. A malicious attacking node can exploit this weakness by faking its rank value to be much lower than the original to attract more traffic to traverse through it from its neighboring and underlying child nodes. An attacking node can choose to perform selective forwarding or a sinkhole attack (Rank Attack type 1 - RA1) or exacerbate network performance parameters by causing topological instability (Rank Attack type 2 - RA2). This paper presents the Statistically-based Anomaly Detection Scheme (SARPL) to detect RA1 and RA2 and attempts to mitigate their effects. The simulations and performance evaluations show that SARPL can successfully detect RA1 attacks in all scenarios whereas it has a positive detection rate of approximately 93% for RA2 type attacks. SARPL also significantly improves network performance parameters, such as packet delivery rate and end-to-end delay, while mitigating the effects of RA1 and RA2. [ABSTRACT FROM AUTHOR]

Summary: In the area of wireless communication technologies, 6LoWPAN leverages the extensive capabilities of IPv6, even within the constraints imposed by resource‐limited devices, particularly within wireless sensor networks (WSNs). The integration of 6LoWPAN into modern solutions for implementing the IPv6‐based Internet of Things (IoT) is becoming increasingly important. In this paper, a sensor monitoring and notification system specifically designed for deployment over 6LoWPAN has been proposed. Multipurpose capability, scalability, and ease of deployability are the main features of the proposed system. Its architecture reflects the highest degree of flexibility and allows for a variety of use cases encountered in practical scenarios. In addition, a web interface has been developed as part of the comprehensive system architecture. This interface enables efficient management of the entire system and facilitates connection for new users and seamless integration of additional sensors. By encapsulating complex functions in a user‐friendly interface, the system promotes accessibility, convenience, and an enhanced user experience. The proposed system overcomes the limitations of current approaches, thereby creating new opportunities. The flexibility of the proposed system allows it to be applied to various use cases. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) consists of interconnected smart devices communicating and collecting data. The Routing Protocol for Low-Power and Lossy Networks (RPL) is the standard protocol for Internet Protocol Version 6 (IPv6) in the IoT. However, RPL is vulnerable to various attacks, including the sinkhole attack, which disrupts the network by manipulating routing information. This paper proposes the Unweighted Voting Method (UVM) for sinkhole node identification, utilizing three key behavioral indicators: DODAG Information Object (DIO) Transaction Frequency, Rank Harmony, and Power Consumption. These indicators have been carefully selected based on their contribution to sinkhole attack detection and other relevant features used in previous research. The UVM method employs an unweighted voting mechanism, where each voter or rule holds equal weight in detecting the presence of a sinkhole attack based on the proposed indicators. The effectiveness of the UVM method is evaluated using the COOJA simulator and compared with existing approaches. Notably, the proposed approach fulfills power consumption requirements for constrained nodes without increasing consumption due to the deployment design. In terms of detection accuracy, simulation results demonstrate a high detection rate ranging from 90% to 100%, with a low false-positive rate of 0% to 0.2%. Consequently, the proposed approach surpasses Ensemble Learning Intrusion Detection Systems by leveraging three indicators and three supporting rules. [ABSTRACT FROM AUTHOR]

6LoWPAN allows IEEE 802.15.4 standard-based wireless sensor networks (WSNs) to be connected to the Internet through the Internet protocol IPv6; however, its performance decreases as the network grows in size due to complications such as the bottleneck problem; therefore this paper aims to improve the performance of 6LoWPAN-based WSNs by using the IEEE 802.11AH standard as a backbone in these networks, since this emerging new technology is suitable for IoT applications, as it can provide a coverage range up to 1,000 m and data transmission rates up to 78 Mbps. The IEEE 802.11AH standard can be used as a backbone by utilizing its characteristics to improve some of the performance parameters of the 6LoWPAN networks such as end-to-end delay, frames delivery ratio, and the network throughput. This paper proposes a heterogeneous network infrastructure consisting of 6LoWPAN and the IEEE 802.11AH standard to enable bidirectional data transmission between the network components and the Internet via the Internet protocol IPv6 with two types of gateways, the edge gateways to connect the entire network to the Internet and the intermediate gateways to connect the 6LoWPAN clusters to the edge gateways. The simulation results demonstrate that the heterogeneous network approach can provide significant improvement gains compared to the 6LoWPAN homogeneous networks, since it shows clear improvements to the packets delivery ratio, the end-to-end delay mean value and the network throughput, subsequently leading to a distinct enhancement in the network's overall reliability. [ABSTRACT FROM AUTHOR]

Distributed Denial of Service (DDoS) attacks is a problem in computer networks. DDoS attacks pose a significant threat to internet networks as they cause congestion and disrupt the optimal functioning of servers. Detecting the source of these attacks is essential for effective protection. Therefore, in this study, we propose a hybrid strategy that combines Suricata, an intrusion detection system (IDS), with pfSense, a firewall, to address DDoS attacks. Suricata, the IDS, can identify the destination of the attack, which allows pfSense, the Firewall, to block the attack by dropping packets sent by the attacker. As a result, by leveraging this combined approach, we have observed significant improvements in the quality of service (QoS). The results of our study indicate a 1.08 % increase in throughput value, from 1881.97 bytes to 902.44 bytes, demonstrating improved efficiency in data transmission. Additionally, we observed a 57.32 % increase in the average total number of packets sent, from 1382 packets to 3238 packets, indicating better network performance. Furthermore, the proposed strategy significantly reduced delay and jitter values. The delay value decreased by 88.78 %, from 90.76 ms to 10.18 ms, and the jitter value decreased by 88.99 %, from 181.85 ms to 20.03 ms. These improvements signify a notable reduction in latency and packet timing variations, leading to a smoother network experience. Another crucial aspect we evaluated was the CPU utilization. The proposed strategy resulted in a substantial decrease in CPU utilization by 81.23 %, from 78.3 % to 14.7 %. The combination of pfSense and Suricata has proven to be a successful approach, providing robust protection against DDoS attacks, including those utilizing IPv6. This research can be implemented as a solution on a campus ad-hoc network with limited computers [ABSTRACT FROM AUTHOR]

Internet of things is a technology that allows communication between devices within a network. Since this technology depends on a network to communicate, the vulnerability of the exposed devices increased significantly. Furthermore, the use of internet protocol version 6 (IPv6) as the successor to internet protocol version 4 (IPv4) as a communication protocol constituted a significant problem for the network. Hence, this protocol was exploitable for flooding attacks in the IPv6 network. As a countermeasure against the flood, this study designed an IPv6 flood attack detection by using epsilon greedy optimized Q learning algorithm. According to the evaluation, the agent with epsilon 0.1 could reach 98% of accuracy and 11,550 rewards compared to the other agents. When compared to control models, the agent is also the most accurate compared to other algorithms followed by neural network (NN), K-nearest neighbors (KNN), decision tree (DT), naive Bayes (NB), and support vector machine (SVM). Besides that, the agent used more than 99% of a single central processing unit (CPU). Hence, the agent will not hinder internet of things (IoT) devices with multiple processors. Thus, we concluded that the proposed agent has high accuracy and feasibility in a single board computer (SBC). [ABSTRACT FROM AUTHOR]

The rapid development of information and communication technologies has increased the demand for internet-facing devices that require publicly accessible internet protocol (IP) addresses, resulting in the depletion of internet protocol version 4 (IPv4) address space. As a result, internet protocol version 6 (IPv6) was designed to address this issue. However, IPv6 is still not widely used because of security concerns. An intrusion detection system (IDS) is one example of a security mechanism used to secure networks. Lately, the use of machine learning (ML) or deep learning (DL) detection models in IDSs is gaining popularity due to their ability to detect threats on IPv6 networks accurately. However, there is an apparent lack of studies that review ML and DL in IDS. Even the existing reviews of ML and DL fail to compare those techniques. Thus, this paper comprehensively elucidates ML and DL techniques and IPv6-based distributed denial of service (DDoS) attacks. Additionally, this paper includes a qualitative comparison with other related works. Moreover, this work also thoroughly reviews the existing ML and DL-based IDSs for detecting IPv6 and IPv4 attacks. Lastly, researchers could use this review as a guide in the future to improve their work on DL and ML-based IDS. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) networks are being widely deployed for a broad range of critical applications. Without effective security support, such a trend would open the doors to notable security challenges. Due to their inherent constrained characteristics, IoT networks are highly vulnerable to the adverse impacts of a wide scope of IoT attacks. Among these, flooding attacks would cause great damage given the limited computational and energy capacity of IoT devices. However, IETF-standardized IoT routing protocols, such as the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL), have no relevant security-provision mechanism. Different variants of the flooding attack can be easily initiated in RPL networks to exhaust network resources and degrade overall network performance. In this paper, a novel variant referred to as the Destination Information Object Flooding (DIOF) attack is introduced. The DIOF attack involves an internal malicious node disseminating falsified information to instigate excessive transmissions of DIO control messages. The results of the experimental evaluation demonstrated the significant adverse impact of DIOF attacks on control overhead and energy consumption, which increased by more than 500% and 210%, respectively. A reduction of more than 32% in Packet Delivery Ratio (PDR) and an increase of more than 192% in latency were also experienced. These were more evident in cases in which the malicious node was in close proximity to the sink node. To effectively address the DIOF attack, we propose a new lightweight approach based on a collaborative and distributed security scheme referred to as DIOF-Secure RPL (DSRPL). It provides an effective solution, enhancing RPL network resilience against DIOF attacks with only simple in-protocol modifications. As the experimental results indicated, DSRPL guaranteed responsive detection and mitigation of the DIOF attacks in a matter of a few seconds. Compared to RPL attack scenarios, it also succeeded in reducing network overhead and energy consumption by more than 80% while maintaining QoS performance at satisfactory levels. [ABSTRACT FROM AUTHOR]

The increasing network speeds of today's Internet require high-performance, high-throughput network devices. However, the lack of affordable, flexible, and readily available devices poses a challenge for packet classification and filtering. This problem is exacerbated by the increase in volumetric Distributed Denial-of-Service (DDoS) attacks, which require efficient packet processing and filtering. To meet the demands of high-speed networks and configurable network processing devices, this paper investigates a hybrid hardware/software packet filter prototype that combines reconfigurable FPGA technology and high-speed software filtering on commodity hardware. It uses a novel approach that offloads filtering rules to the hardware and employs a Longest Prefix Matching (LPM) algorithm and allowlists/blocklists based on millions of IP prefixes. The hybrid filter demonstrates improvements over software-only filtering, achieving performance gains of nearly 30%, depending on the rulesets, offloading methods, and traffic types. The significance of this research lies in developing a cost-effective alternative to more-expensive or less-effective filters, providing high-speed DDoS packet filtering for IPv4 traffic, as it still dominates over IPv6. Deploying these filters on commodity hardware at the edge of the network can mitigate the impact of DDoS attacks on protected networks, enhancing the security of all devices on the network, including Internet of Things (IoT) devices. [ABSTRACT FROM AUTHOR]

In this paper, we focus on one of the most prominent IPv6 transition technologies, namely lw4o6 (Lightweight 4over6). We emphasize the uniqueness of lw4o6 and the difference between lw4o6 and the conventional DS-Lite (Dual-Stack Lite), their topology, functionality and security vulnerabilities. We analyze the potential vulnerabilities of lw4o6 infrastructure by applying the STRIDE threat modelling technique, which stands for Spoof- ing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege. Moreover, we build a test-bed for lw4o6 using Snabb, which is an open source software. We test Snabb’s tunneling and binding capabilities and most importantly, port allocation per subscriber. At the end, we present multiple attacking scenarios (Denial of Service, Information Disclosure, Spoofing, etc.) against lw4o6’s main routers and come up with mitigation methods for such attacks. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) is going to create a heterogeneous network of billions or trillions of connected things with self-aware, self-configuration capabilities that will exchange data with each other. This heterogeneous IoT network requires standard protocols, secure and energy-efficient wireless communication, and the allocation of unique identities such as IPv6 addresses. One of the key challenges in such a heterogeneous network is the maintenance of device location and unique identity to ensure the smooth functioning of location-aware applications. Hence, this paper presents a stateless spatiotemporal IPv6 addressing scheme called four-dimensional IP addressing (FDIPA). It is founded on the idea that two objects can not be in the same place at the same time. It uses the time and location information of the device to generate the target IPv6 address and assigns it to the device after verifying its uniqueness with the duplicate address detection (DAD) protocol. It not only maintains spatial and temporal information but also guarantees a unique identity for a large-sized network. Analytically, it is proved that FDIPA will always generate a unique identity if there is no technological limitation. However, the performance of FDIPA is evaluated based on metrics such as Assignment Success Rate (ASR), communication overhead, and total energy consumption in the assignment of a unique IPv6 address. The experimental results show that FDIPA achieves good ASR while keeping low energy consumption and less overhead in the network. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) has seen a lot of traction over the last few years and is expected to play a major role in controlling devices and communication. IoT network involves sensors with constrained memory, limited processing and power capabilities. The process of network formation largely decides the Quality of service in these networks. IPv6 Routing Protocol for LLNs (RPL) is specially designed by the IETF ROLL working group to cater to routing requirements in such networks. In RPL, an Objective function specifies a set of metrics or constraints which can be used as criteria for best parent and path selection, ensuring a faster route to the destination. In our work, we propose a novel objective function OF-FZ, which uses four metrics to make routing decisions. Fuzzy Logic is used to combine the metrics hop count (HC), ETX, delay and node residual energy (RE) to obtain a single decision metric termed as Quality Assurance (QA) score. During routing, a neighbor node having the highest QA score is chosen as the best parent. The proposed Objective Function leads to significant savings in energy consumption (EC) (9% lower), Packet Delivery Ratio (PDR) (3% higher), End-to-end Delay (8% lower) as compared to existing OFs. Controlling advertisement messages circulating in the network leads to a significant reduction in control overhead to the tune of 45%. Performance evaluation and deep dive of OF-FZ is done in three configurations: network scalability, increasing packet transmission rates and multi-sink scenarios using Contiki OS and COOJA network simulator. [ABSTRACT FROM AUTHOR]

Day by day applications of wireless sensor networks is increasing in areas like environmental monitoring, agriculture, defence, Internet of Things. These networks use IPv6 based protocol namely Routing Protocol for Low power and Lossy networks(RPL). The sensor nodes have limited resources. They carry sensitive information and are placed in the hard to reach areas. Intrusion Detection System (IDS) plays an important role in providing the security for such systems. An IDS model is designed using Artificial Neural Networks, Logistic Regression, Support Vector Machine, and Random Forest techniques are analyzed on simulated data, WSN-DS, and IEEE-IoT-IDS to identify the suitable model for rule generation. Later, multiple attacks are identified using Rule Based Approach. The rule generation is carried out at the base station in order to utilize the sensor node's energy efficiently. Experimental results show that the proposed method gives good results in the identification of multiple intrusions. [ABSTRACT FROM AUTHOR]