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Malware used in advanced persistent threats often establish a covert channel. By means of such a channel, the malware can communicate with external Command & Control servers or send classified data to a server controlled by the attacker. In military networks, these covert transmissions are a security problem with significant impact on the success of a military operation. Mobile agents in combination with machine learning are particularly suitable to detect and mitigate these type of attacks. However, a mobile agent needs to be trained before its deployment. In this paper, a concept is defined how federated learning can be used to train the mobile agents in tactical networks if the training data is distributed on the nodes of a tactical network. Furthermore, we propose an algorithm to select the nodes that are involved in the training. The proposed concepts and methods are evaluated regarding their efficiency. The evaluation considers in particular federated learning in the inter-organizational tactical networks because multinational armed forces are often involved in modern military operations. [ABSTRACT FROM AUTHOR]

Road traffic is drastically increasing in big cities around the world. In order to enable a flexible management of this traffic, Intelligent Transportation System (ITS) solutions are relying on emergent ubiquitous, mobile, and communication technologies, particularly to intelligently deal with the limited capacities of the existing road infrastructures. While intelligence is left to the autonomous and connected vehicles as well as to the ITS, the road infrastructure has been mostly playing a passive role (as a source of data). Road signage, in particular, are in best cases dynamic but do not play an active role in monitoring traffic and incidents. We propose in this paper to build Smart Road Signs (SRS) that can collaborate with Connected Vehicles in order to monitor traffic and warn drivers about any incident or danger. Our SRSs are meant to operate autonomously in order to detect road traffic problems, share appropriate information with vehicles in the vicinity, and display relevant messages based on the ongoing contextual situation. To meet our goals, we rely on Multi-Agent Systems to design SRSs as proactive components in the ITS landscape. We also rely on agent mobility in order to strengthen the collaboration with the connected vehicles. [ABSTRACT FROM AUTHOR]

The modelling of wireless sensor networks has always given priority to energy efficiency. The implementation of mobile agent technology in integrated signal and wireless sensor networks has created an effective platform for data storage and aggregation. The distributed paradigm based on mobile agents provides many advantages over the current, widely used device paradigm for clients / data centres in wireless sensor networks. The agent-based paradigms are one of the major problems with mobile agent-based paradigms. Many sinks mitigate the problem by distributing traffic across several discharges, and reducing energy consumption at nodes and extending network service life. This paper presents an Energy-efficient multiple sink positioning algorithm to maximize average network life and limit average sensor network energy consumption. Several sinks are used here for data communication. Result of the proposed algorithm maximizes an average network life and reduces the energy consumption average. The results of the simulation shows that the Protocol proposed exceeds the end-to - end delay, energy consumption and output. [ABSTRACT FROM AUTHOR]

Abstract To strengthen the security of access control protocols for mobile cloud environment, dynamic attributes of mobile devices are used. The weak or disconnection issue of the mobile network is a critical task to deal with. The proposed approach provides access control as well as data confidentiality using dynamic attributes encryption. The pairs of mobile agents are used to deal with the issue of network connection. The secret key is distributed using the anonymous key-issuing protocol which preserves the anonymity of the user. The approach is implemented in a real mobile cloud environment, and the performance under various parameters is evaluated. [ABSTRACT FROM AUTHOR]

Wireless Sensor Network is playing a crucial role in daily life because of its distributed sensing ability in combination with wireless communication techniques and self-organising deployment approaches. To satisfy requirements of easily matching diversified dynamic sensing applications and highly heterogeneous sensor platforms from perspective of logistics, a low budget but high-efficient wireless sensor network middleware is in dire need. To maximise commercial benefits, a WSN middleware is designed in order to increase efficacy and return on investment. This paper presents a design of an inventive mobile agent-based middleware, which could optimally achieve the intensive requirements of a WSN middleware. The middleware proposed in this paper has considered resources limitation issues that are commonly addressed on normal sensor nodes, meanwhile it provides a possibility of platform independence as well as programming language independence. In addition, a mobile agentbased system can reduce network payload and dynamically adapt to environmental changes. Therefore, the middleware presented in this paper has ability of perceiving changes in operating environment and ability to automatically response to these changes. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of Beijing Institute of Technology is the property of Beijing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Among the Internet-of-Things, one major field of application deploying agent-based sensor and information processing is Structural Load and Structural Health Monitoring (SLM/SHM) of mechanical structures. This work investigates a data processing approach for material-integrated and mobile ubiquitous SHM and SLM systems by using self-organizing mobile multi-agent systems (MAS), executed on a highly portable JavaScript-based Agent Processing Platform (APP), and optimized Machine Learning (ML) methods providing load class recognition from a set of sensors embedded in the technical structure. Machine learning approaches usually require a large amount of computational power and storage resources and ML is commonly performed off-line, not suitable for resource constrained sensor network implementations. Instead, a novel distributed-regional on-line learning is applied, with on-line distributed sensor processing and learning performed by the agent system. The APP provides ML as a service, and the agent itself only collects training and analysis data passed to the APP, finally returning a learned model that is saved by the agent in a compact format (and is available on any other location). A case study shows that the learning algorithm is suitable (stable) for noisy and time varying sensor data. Spatial global learning is reduced and mapped on local region learning with global voting. [ABSTRACT FROM AUTHOR]

Mobile agent-based applications are special type of software systems which take the advantages of mobile agents in order to provide a new beneficial paradigm to solve multiple complex problems in several fields and areas such as network management, e-commerce, e-learning, etc. Likewise, we notice lack of real applications based on this paradigm and lack of serious evaluations of their modeling approaches. Hence, this paper provides a comparative study of modeling approaches of mobile agent-based software systems. The objective is to give the reader an overview and a thorough understanding of the work that has been done and where the gaps in the research are. [ABSTRACT FROM AUTHOR]

Wireless sensor networks (WSN) are self-organized networks that typically consist of thousands of low-cost, low-powered sensor nodes. The reliability and availability of WSNs can be affected by faults, including those from radio interference, battery exhaustion, hardware and software failures, communication link errors, malicious attacks, and so on. Thus, we propose a novel multi-agent fault tolerant system for wireless sensor networks. Since a major requirement of WSNs is to reduce energy consumption, we use multi-agent and mobile agent configurations to manage WSNs that provide energy-efficient services. Mobile agent architecture have inherent advantages in that they provide energy awareness, scalability, reliability, and extensibility. Our multi-agent system consists of a resource manager, a fault tolerance manager and a load balancing manager, and we also propose fault-tolerant protocols that use multi-agent and mobile agent setups. [ABSTRACT FROM AUTHOR]

Because remote medical monitoring systems are highly distributed, limited to node energy and have a large quantity of process and transmission information, this paper proposes a kind of remote medical monitoring system based on the technology of the Internet of things combined with a mobile agent. Ten patients (5 male and 5 female, ages 18~69 with an average age of 41.8) were given a clinical test with this system. The paper shows the architectural model of the system consists of wireless sensor nodes, relay nodes, a remote monitoring center, etc. To collect the patients' physiological data, the remote monitoring center in the hospital issues a mobile agent and runs it in a wireless sensor node. After processing the mobile agent, the center sends the data to the relay node and then back to the hospital's remote monitoring center through the Internet of Things to do comprehensive diagnosis and make decisions. The project has completed the software and hardware design and debugging of each module of the system. The results show that the system is able to monitor the health status of patients who live in different communities in the long term and in time. Furthermore, the system can achieve optimal utilization of medical resources. [ABSTRACT FROM AUTHOR]

The nodes with dynamicity, and management without administrator are key features of mobile ad hoc networks (MANETs). Increasing resource requirements of nodes running different applications, scarcity of resources, and node mobility in MANETs are the important issues to be considered in allocation of resources. Moreover, management of limited resources for optimal allocation is a crucial task. In our proposed work we discuss a design of resource allocation protocol and its performance evaluation. The proposed protocol uses both static and mobile agents. The protocol does the distribution and parallelization of message propagation (mobile agent with information) in an efficient way to achieve scalability and speed up message delivery to the nodes in the sectors of the zones of a MANET. The protocol functionality has been simulated using Java Agent Development Environment (JADE) Framework for agent generation, migration and communication. A mobile agent migrates from central resource rich node with message and navigate autonomously in the zone of network until the boundary node. With the performance evaluation, it has been concluded that the proposed protocol consumes much less time to allocate the required resources to the nodes under requirement, utilize less network resources and increase the network scalability. [ABSTRACT FROM AUTHOR]

Cloud Computing is an internet-based computing paradigm, where dynamically scalable and virtualized shared resources are pro- vided to customers on demand. It becomes widespread thanks to its concepts that boost availability and accessibility of information on the network. However, the open nature of this technology exposes it to serious vulnerabilities related to security flaws occurred while interactions to execute required services. Intrusion Detection System (IDS) is a stronger strategy to provide security, through monitoring data environment to detect attacks in order to prevent their expansion. In this paper, we propose efficient, reliable and secure IDS based on mobile agent paradigm and cryptographic mechanisms. According to this, an agent can move among cloud data servers to collect data or execute services, while keeping a cryptographic trace of the actions, actors, results and data involved in the execution. Based on a chaining mechanism, these cryptographic traces including signed data, encrypted and hashed code statements, allow the identification of intrusions and their origins. We have implemented a cloud environment to integrate our proposed IDS, and conducted detailed experiments to evaluate its response time, network load and detection performance compared to the traditional Client/Server architecture. [ABSTRACT FROM AUTHOR]

The trajectory data warehouse (TDW) view definitions are constructed from heterogeneous mobile information sources schema that are more and more independent. In fact, they frequently change their content due to perpetual transactions (data changes) and may change their structure due to continual users’ requirements evolving. Managing appropriately the view definition synchronization is a necessity since, the TDW is considered as the core component of the modern decision support systems. The aim of this paper is to propose a mobile agent view synchronization system to uphold a trajectory data warehouse under schema changes. [ABSTRACT FROM AUTHOR]

Security is a very important concept in the growth and the development of the mobile agent technology. However, in most of researches, security properties are envisaged in the implementation phase. Nevertheless, the integration of security properties in all phases of software development can provide more secure mobile agents based systems. In this paper we are interested to model the security properties in order to protect stationary agents during their communications with visitor mobile agents. [ABSTRACT FROM AUTHOR]

Mobile cloud computing (MCC) combines mobile Internet and cloud computing to improve the performance of applications. In MCC, the data processing and storage for mobile devices (MDs) is provided on the remote cloud. However, MCC faces the problem of energy efficiency caused by randomly varying channels. In this paper, by introducing the Lyapunov optimization method, we propose a combined service subscription and delivery (CSSD) algorithm that can guide the users to subscribe to services reasonably. This algorithm can also determine whether to deliver the data and to whom data is sent in the current time unit based on the queue backlog and the channel state. Numerical results validate the correctness and effectiveness of our proposed CSSD algorithm. [ABSTRACT FROM AUTHOR]

In the original Mobile Agent migration system, the minimum information set will be abandoned if the Agent migration fails. The minimum information set has to be re-packaged while the same Agent requests to migrate again, which results in an unnecessary waste of computing resources and migration delay. In this paper, the original migration mechanism was improved by adding an Agent migration cache manager (AMCM) in Agency. The mechanism distinguishes two Agent migration ways-, strong migration and weak migration. While the migration failed, AMCM will put the minimum information set into cache. In this way, the minimum information set will be sent to remote Agencies directly without re-packaging when the same Agent requests to migrate again. The mechanism also realizes the high-performance Agent continuous migration among multiple target nodes. Experiments and performance analysis show that the Mobile Agent migration mechanism based on optimized cache mechanism can effectively reduce the consuming of computing resources and the delay of Agent migration. [ABSTRACT FROM AUTHOR]

One of the major challenges in Structural Health Monitoring and load monitoring of mechanical structures is the derivation of meaningful information from sensor data. This work investigates a hybrid data processing approach for material-integrated SHM and LM systems by using self-organizing mobile multi-agent systems (MAS), with agent processing platforms scaled to microchip level which offer material-integrated real-time sensor systems, and inverse numerical methods providing the spatial resolved load information from a set of sensors embedded in the technical structure. Inverse numerical approaches usually require a large amount of computational power and storage resources, not suitable for resource constrained sensor node implementations. Instead, off-line computation is performed, with on-line sensor processing by the agent system. [ABSTRACT FROM AUTHOR]

Mobile agent systems offer efficiency and flexibility as a design paradigm. These two characteristics allow to these systems to be an adequate solution for many problems. These systems are used in many critical domains. This expansion, in use, obliges designers to insure the reliability and correctness of such systems. Formal methods can be used to verify the correctness of these systems. This paper presents a formal specification and verification of mobile agent systems using the High Order π-calculus. The verification exploits the two tools UPPAAL and SPIN. [ABSTRACT FROM AUTHOR]

Abstract: Timeliness and correctness in conflict detection and resolution mechanisms form an important component in railway operation especially when the decision process involves human factors. The current approaches used by Indian railways (IR) for conflict management can be enhanced through the use of Mobile Agent (MA) technology. The use of MA technology appropriates due to their asynchronous, autonomous, robust, and fault tolerant properties. In this paper, we discuss certain train operation conflicts and detail about meet conflict followed by implementation of MA based meet conflict management system for IR. Due to the suitability of formal modeling techniques for implementing highly dynamic and concurrent systems, in our rail traffic scenario we modeled the meet conflict detection and resolution mechanism using coloured petri net (CPN). [Copyright &y& Elsevier]

Abstract: Distributed applications provide challenging environment in today’s advancing technological world. To enhance the aspects of better performance and efficiency in real scenario mobile agent’s concept has been brought forward. As every technological movement is aligned with its repercussions, the mobile agent technology also has its inherent security loopholes. Usage of agent technology poses various security threats over networked infrastructure. Moreover numerous researches have already been proposed to take the edge off inherent security risk faced by mobile agent, but all these approaches did not resolve the malicious execution environment problem in permissible and effectual conduct. Gaining the understanding of mobile agent architecture and the security concerns, in this paper, we proposed a security protocol which addresses security with mitigated computational cost. The protocol is a combination of self decryption, co-operation and obfuscation technique. To circumvent the risk of malicious code execution in attacking environment, we have proposed fragmentation based encryption technique. Our encryption technique suits the general mobile agent size and provides hard and thorny obfuscation increasing attacker’s challenge on the same plane providing better performance with respect to computational cost as compared to existing AES encryption. [Copyright &y& Elsevier]

Virtual knowledge community (VKC) is a virtual place where agents can meet, communicate and interact among themselves. However, security is a basic challenge in a VKC networked environment. Distributed Denial of Service (DDoS) is currently a prevailing threat in the network communities. In this paper, we set up an experiment using the vmware workstation and Java Agent Development (JADE) as our test-beds to ascertain the detection of DDoS in VKC environment. Our contribution in this paper is to monitor the arrival rate of each of the source ip address. Consequently, ip address that has the highest occurrence within a particular time is suspected to be a DDoS attack. A graph is embedded in our work to illustrate our approach. [ABSTRACT FROM AUTHOR]

Abstract: Nowadays, auction marketplace are conducted online and executed via electronic channels. Taking one step further, online auction e-marketplace adopted software agent technology in the bidding process. A mobile agent-based e-auction marketplace must fit the concept of halal trade and following Shari’ah law in order to fulfill muslim community needs and must offer secure and trustworthy trading environment. Nevertheless, mobile agent raises issues concerning the protection of platform/host and malicious attacks from a variety of intervening that might alter the information its carries. This paper investigate the requirement of trusted and secure online auction in line with Shari’ah transaction rules using the mobile agent technology by proposing a security architecture for mobile-agent based e-auction marketplace. This paper also investigates possible online auction frauds that can affect bidding process and focused on bid shielding and shill bidding. At the end of this the paper, security architecture for mobile agent-based e-auction marketplace in Shari’ah compliant environment is presented. [Copyright &y& Elsevier]

The rapid development of computer network especially the internet has enabled new software capabilities and wide market interest. The reality that this technology will virtually place all computer users on the internet is a major motivating factor in this work. This paper proposes a software piracy prevention technique in which client/user purchases a software product, but must connect to the remote server of the software developer before installation. The user provides an activation code that activates mobile agent. The validity of the activation is checked, the software user identity information is compared with store information in the database of the developer to ascertain authenticity and prevent piracy. A mathematical model is adopted for measuring the effectiveness of mobile agent migration in terms of network load which is expected to be at minimal. [ABSTRACT FROM AUTHOR]

Abstract: In Wireless Sensor Networks, personalization has been seen by researchers as the process of tailoring services to fulfill requests of different users with different profiles. This vision ignores that individual sensors commonly have different profiles and contexts and therefore different needs. In this paper, we aim at extending personalization by allowing sensors to support each other with services that mutually fit their differences. To this end, we propose an agent-based framework where sensor nodes delegate software agents (static or mobile) to collect valuable data about the neighboring sensors and the spatial characteristics of their surrounding environments. We also show how this framework may be used to make the routing and relocation processes more personalized. [Copyright &y& Elsevier]

Ubiquitous service modeling and composition is constrained and communication among nodes is error-prone and unreliable. Such a dynamic environment requires a continuous adaptation of the composition of services. The paper proposes a method for semantic message matching in automatic service composition. Since the service interface definition can be represented by ontology concepts, the internal representation language enables us to define some issues required by service composition formally, qualitative and quantitative constraints plus reasoning on concepts, and the service behavior can be represented using linear logic formulas, so the inference rules of linear logic can check the match-ability and satisfy-ability of service message. the mobile agent uses projection-join closure to capture such message situations. the optimization of the composition is translated into dynamic services selection with QoS global optimization. The simulation results show that the approach can significantly improve the Ubiquitous service performance. It adapts well to the changes of dynamic environments. [ABSTRACT FROM AUTHOR]

Abstract: Routing is briefly explained in this paper, as well as the mechanism and the shortcomings of current dynamic routing are analyzed. After briefly introducing the advantages of mobile agent, the paper focuses on applying the new Mobile Agent technology to routing algorithm and proposes an innovative dynamic routing algorithm based on MA. [Copyright &y& Elsevier]

Abstract: The traditional design of environment monitoring system is based on cable transmission, with the disadvantages of deployment difficulty, high costs, poor stability and accuracy. Wireless Sensor Network (WSN) and Mobile Agent (MA) technology can effectively solve these problems. In this paper, we present a new scheme of environment monitoring system. Our method can monitor indoor environments automatically and alarm abnormal situations in time. The proposed method has been applied in a company and greatly improves the level of management efficiency. [Copyright &y& Elsevier]

Abstract: With the evolution in computer networks over the last decade, researchers are trying to come up with efficient approaches which can help network administrator in implementing the acceptable use policy for large complex networks. In this paper we have modified An Agent Based System for Activity Monitoring on Network – ABSAMN architecture and proposed iDetect: Content Based Monitoring of Complex Network using Mobile Agents which uses the content (i.e. text, image and video) of the application for categorization purpose. iDetect is implemented in Java using Java Agent Development (JADE) framework and supports platform independence; however, the framework has been tested only on Microsoft Windows (any version) environment. We have evaluated iDetect and ABSAMN on same configuration concurrently at the university campus having four labs equipped with 60–120 number of PCs in various labs; experimental results shows that iDetect efficiently detects known/unknown illegal activities (applications/websites) running on the network as compared to ABSAMN. [Copyright &y& Elsevier]

Abstract: As the security situational assessment widely applying to the computer network field, scholars have designed and implemented a large number of network security situational assessment methods. However, most works are based on local area network and single host, which is hardly to meet the demand of large-scale network security assessment. In this paper, we based on quantitative hierarchical network security situational assessment model, introduced the mobile agent technology, designed the distributed computing for large-scale network and evaluated the whole network security situation for future prediction. [Copyright &y& Elsevier]

Abstract: Mobile Agent technology applied to the problem of mining data streams which, Mobile Agent application intelligence, distributed data stream mining to solve the noise present in the data processing is difficult to identify, classify slow, inefficient mining problems is proposed based on Mobile Agent distributed data stream mining model, the model design and data base displacement detection, data stream classification algorithms in a distributed environment to better address the problem of mining data streams. Mobile Agent based system for distributed data stream mining has a greater theoretical and practical significance. [Copyright &y& Elsevier]

Abstract: Linear programming is an important solution for engineering applications, and sometimes the integer value is needed for the applications, this paper introduced the third distributed computation technology namely Mobile Agent to the linear programming problems, designed the algorithm with low time complexity compared to the traditional method, clarified the method of seeking the optimization in linear programming by means of Mobile Agent,and it''s very valuable and practicable. [Copyright &y& Elsevier]

Abstract: In order to solve the problems of diversity of platforms, server load balancing, scalability and decoupling between modules, an architecture based on distributed middleware Internet Communication Engine(ICE) was proposed. In the architecture, mobile Agent was adopted to improve the publish/subscribe(P/S) model of traditional ICE architecture. The architecture was applied to construct EAMS software. It shows that, the architecture greatly improves the portability, scalability and performance of EAMS, and also reduces the system development time and costs. [Copyright &y& Elsevier]

Abstract: According to the problems of network teaching, the paper makes a study of the network learning pattern recognition (NLPR) - the network learning factor collecting (NLFC). In this paper, mobile agent technique is used to do general design and detailed design of the NLFC system, and the design principle is expatiated. The collecting data include the multimedia on demand information collection, intercourse information collection, exercise information collection, and exam information collection. The system may collect all kinds of learning information of network learners and provide a basis for constructing NLPR system. At the same time, it is useful for solving the problems of the classification and recognition of discrete-time nonlinear learning mode in network teaching, and promote the development of network teaching evaluation, thus the system of this paper have a grater practical value. [Copyright &y& Elsevier]

In order to protect the privacy of the task in the cloud & client computing environment and prevent the malicious nodes or the competitors from prying into the internal logic and objectives of the task, a mobile Agent-based secure task partitioning and allocation algorithm for cloud &. client computing is proposed. The new algorithm takes into account the cloud computing cluster server nodes and user terminals nodes together, divides task into a number of appropriate sub-tasks, and utilizes mobile Agent to carry the code and data of sub-tasks to the suitable nodes in accordance with the corresponding task allocation for implementation. The result of developed prototype system shows that, under the protection of the algorithm, the malicious terminal node looking into the code and data of the sub-task assigned to it or even co-attacking the system still can not understand the overall workflow and final objective of the task. [ABSTRACT FROM AUTHOR]

Abstract: Advancement in technology provides opportunities to user as well as challenges for application development organization. User interfaces which were design for specific device tend to be developed for various devices. Users are busy people, when they move among different context would like to move application with them. The current trend of users demanding mobile graphic user interface to support their daily life and work has led to a new generation of techniques. Design time technique provides better usability as compare to run time technique. On the other hand artificial intelligence technique like agent provides better flexibility and usability as compare to others. In this paper we have compared these techniques in the context of mobility of user interface. [Copyright &y& Elsevier]

Forecasting orders accurately plays a crucial role for household electric appliance (HEA) enterprises keeping low inventory level. In order to reduce the influence of bullwhip effect, sales data are applied to forecast orders of the next period instead of ordering data. Mobile agent is applied to achieve the sales data from retailers in the data preparation. And the converting approach from sales data of retailers to prediction data is proposed. Autoregressive and moving average (ARMA) model is introduced to forecast orders and a comparison amongst final prediction error (FPE), Akaike information criterion (AIC), Bayes information criterion (BIC) and Akaike's corrected information criterion (AICC) criterion is shown. The sample test verifies the superiority of AICC; therefore it is applied to identify ARMA order. Forecasting architecture is established and then the prototype system is tested, at last a case shows the orders prediction of the next quarter and verifies the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Virtual Knowledge Community (VKC) is presently the new area of research that is currently coming of age in the research community. VKC which is a virtual place where knowledge agents can meet, communicate and interact among themselves. In recent times, many research works have been done in the area of VKC but the security aspect of the system has not received any considerable attention in the research community. Therefore, this paper presents a framework to secure agents in VKC against any malicious attacks in an encrypted form of sharing knowledge. The proposed approach will go along way in addressing the security issues in VKC. [ABSTRACT FROM AUTHOR]

In attempt to develop an intelligent agent based model for deadlock detection in Virtual Knowledge Communities (VKC). shadow and detector agents were used to facilitate the detection process in the design. A mathematical model based on the design for deadlock detection and resolution in multi-agent communities was developed. The prototype implementation was carried out using Java platform technology. Experimental result is satisfactoiy in addressing the issue of deadlock problems in knowledge sharing in agent-based VKC. [ABSTRACT FROM AUTHOR]

In order to alleviate difficulties of conducting consumer-to-consumer (C2C) e-commerce transaction, establishing efficient e-alliance was proposed. E-alliance is the union of e-commerce sites. It is constructed by mobile agents. The mobile agent architecture was discussed. The process of selecting suitable e-commerce site to e-alliance was presented based on support vector machine (SVM) and fuzzy method. A prototype of the proposed system is implemented on a web platform. To enable data exchange between e-alliance and e-commerce, the system employs XML as data format. The prototype has demonstrated that the efficient C2C e-alliance is reasonable. [ABSTRACT FROM AUTHOR]

Copyright of Revista Virtual Universidad Católica del Norte is the property of Revista Virtual Universidad Catolica del Norte and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In attempt to develop an intelligent agent based model for deadlock detection in Virtual Knowledge Communities (VKC), shadow and detector agents were used to facilitate the detection process in the design. A mathematical model based on the design for deadlock detection and resolution in multi-agent communities was developed. The prototype implementation was carried out using Java platform technology. Experimental result is satisfactory in addressing the issue of deadlock problems in knowledge sharing in agent-based VKC. [ABSTRACT FROM AUTHOR]

An intrusion response system using mobile agents is proposed to solve problems in current intrusion response systems. Then the function of each entity and the operation of system are described in detail. This system is realized with Voyager mobile agent system, and the instance of IP tracing is introduced which shows the good performance of the system. Libpcap is selected as the packet capture library. Finally, the characteristics of system and some points that need to be improved are discussed. [ABSTRACT FROM AUTHOR]

Wireless sensor networks (WSNs) connect physical sensors that are distributed in the environment. In many applications, the statistical pattern recognition methods, such as decision tree (DT) algorithms, are used to recognize the patterns of the sensor readings. To enable the decision tree classification (DTC) in WSNs, a new distributed decision tree classification (DDTC) algorithm based on mobile agent is proposed in this paper. We organize the conjunctive sets of linear classifiers in DT into groups of operations on attributes. Each group of operations is allocated to a single sensor node. If a mobile agent visits these sensor nodes serially, the recognition result can be acquired step by step. Thus the sensor nodes do not need to transmit all the sensor data to a centralized node where all the data processing is carried out in traditional DTC. In DDTC, if not all the attributes are needed for operation, classification of one instance can finish halfway. Two public data sets are used to evaluate the performance of DTC and DDTC on energy consumption. The simulation results indicate that, compared with the centralized DTC, the DDTC algorithm decreases the number of transmissions, balances the power consumption and computation among sensor nodes, and prolongs the lifetime of the network. [ABSTRACT FROM AUTHOR]

A mobile wireless ad hoc network is formed dynamically without a need for a pre-existing infrastructure. This kind of dynamic networks has been used in commercial, cultural, and environmental applications including emergency situations. Managing such networks is a challenging task. In this paper, I propose a management solution that achieves reliable cluster management in clustered ad hoc networks. The solution is based on mobile agent technology. The cluster head performs many jobs to manage the cluster. My proposed idea is to distribute the CH jobs among some nodes called job-carriers. I implement each job in a mobile agent which resides on one of the job-carriers. Election of the jobcarriers is based on a periodically calculated number called Connectivity Number (CN). Each node calculates its CN by counting its neighbors that fall in the 1-hop range of the cluster. The highest-CN nodes have the chance to be jobcarriers. Simulation results show accomplishing semi-static structure and enhancing the performance of the ad hoc network. [ABSTRACT FROM AUTHOR]