Search

Summary: Typically, LoRaWAN utilizes an adaptive data rate (ADR) for resource assignment (e.g., spreading factor and transmit power) to a large number of end devices (EDs). However, the slow adaptation of the spreading factor and transmitting power strategy makes the ADR vulnerable to destructive concurrent transmissions, resulting in massive packet collision. Therefore, this paper analyzes the impact of massive concurrent transmissions and proposes a novel "nondestructive adaptive data rate (ND‐ADR)" approach to address the packet collision problem. The proposed ND‐ADR aims to monitor the destructive concurrent transmissions proactively and mitigate them by allocating nondestructive transmission time to EDs. The proposed ND‐ADR ensures high robustness and reliability by reducing the chances of destructive transmissions and retransmissions. Results show that the proposed ND‐ADR outperforms the existing state‐of‐the‐art ADRs in packet success ratio and energy consumption. [ABSTRACT FROM AUTHOR]

In smart cities, unmanned aerial vehicles (UAVS) play a vital role in surveillance, monitoring, and data collection. However, the widespread integration of UAVs brings forth a pressing concern: security and privacy vulnerabilities. This study introduces the SP-IoUAV (Secure and Privacy Preserving Intrusion Detection and Prevention for UAVS) model, tailored specifically for the Internet of UAVs ecosystem. The challenge lies in safeguarding UAV operations and ensuring data confidentiality. Our model employs cutting-edge techniques, including federated learning, differential privacy, and secure multi-party computation. These fortify data confidentiality and enhance intrusion detection accuracy. Central to our approach is the integration of deep neural networks (DNNs) like the convolutional neural network-long short-term memory (CNN-LSTM) network, enabling real-time anomaly detection and precise threat identification. This empowers UAVs to make immediate decisions in dynamic environments. To proactively counteract security breaches, we have implemented a real-time decision mechanism triggering alerts and initiating automatic blacklisting. Furthermore, multi-factor authentication (MFA) strengthens access security for the intrusion detection system (IDS) database. The SP-IoUAV model not only establishes a comprehensive machine framework for safeguarding UAV operations but also advocates for secure and privacy-preserving machine learning in UAVS. Our model's effectiveness is validated using the CIC-IDS2017 dataset, and the comparative analysis showcases its superiority over previous approaches like FCL-SBL, RF-RSCV, and RBFNNs, boasting exceptional levels of accuracy (99.98%), precision (99.93%), recall (99.92%), and F-Score (99.92%). [ABSTRACT FROM AUTHOR]

• We have cryptanalyzed Dhillon and Karla's authentication protocol for IoMT environments and found that it is insecure against many attacks. • We have designed a more secure remote user authentication protocol using elliptic curve for IoMT system. • The proposed protocol is provably secure in the Random Oracle Model. • The proposed protocol provides resistance against significant security attacks. • The performance analysis proved that proposed protocol is more efficient than other competing protocols. The Internet-of-Multimedia-Things (IoMT) opens new doors towards various contingencies to improve applications and services through efficient multimedia data usage. The ever-enlarging content of multimedia information in an IoT system makes it a critical security concern. Whenever users access services or information through a public channel, he/she is exposed to numerous security threats. Many security schemes have been introduced for IoMT environments to tackle the above-said concerns. Still, most of them do not fulfill all the security requirements of the IoMT systems. Recently, Dhillon and Karla have presented an authentication scheme for the IoMT environment. They have declared that the scheme is robust and can resist significant security attacks. However, we noticed that Dhillon and Kalra's scheme is susceptible to user masquerading attacks and a stolen verifier attack. Besides, their scheme also violates the anonymity and traceability of a user. This paper proposes a more secure remote user authentication scheme using the elliptic curve cryptosystem for the IoMT system. We have evaluated our scheme formally through the random oracle model. The informal security description proves that our scheme provides resistance against significant security attacks. Further, the performance analysis reveals that our scheme is more flexible, robust, and efficient than the relevant schemes. [ABSTRACT FROM AUTHOR]