The high mobility and decentralized nature of Vehicular Ad Hoc Networks (VANETs) present significant security challenges. Specifically, detecting attacks and establishing secure, reliable routing protocols are major critical concerns in the vehicular environment. These attacks can significantly degrade network performance and hinder communication between vehicles. Insider attacks, such as Blackhole attacks, have the potential to severely disrupt VANET systems. This study introduces a novel trust management scheme that incorporates cryptographic techniques to address the important issues of secure routing in VANETs, which also helps in the detection of attacks. In this work, nodes' trust scores are evaluated, and the forwarding node for packet dissemination is chosen based on these scores. Furthermore, an elliptic curve cryptographic (ECC) signcryption technique is added for providing security to the network by authenticating the nodes, which mitigates the misbehaving nodes from the network. The simulation and comparative analysis show the efficacy of the proposed scheme. The proposed approach attained a packet delivery ratio (PDR) of 92.8%, indicating high reliability in data dissemination. Furthermore, the achieved results of throughput and End‐to‐End (E2E) delay are 232.32 KBps and 0.02 s, respectively. The obtained outcomes show enhancements of 94.182%, 49.67%, and 6% in PDR, throughput, and E2E delay, respectively, with respect to the existing techniques.
Nidhi Jaswani, Mou Dasgupta, Sangram Ray et al.· Security and Privacy· 0 citations
The Internet of Vehicles (IoV) enhances transportation through connectivity and intelligence. However, this integration exposes IoV systems to various cyber threats, such as data breaches, hacking, vehicle control manipulation, and vehicle identity theft, which must be addressed to ensure system security. This study tackles security, scalability, and efficiency issues in the IoV framework by implementing a decentralized, blockchain-based authentication framework. It addresses cryptographic vulnerabilities, reduces computational and communication costs, and improves real-time performance. The framework also reduces latency and communication overhead, ensuring secure connectivity in high-traffic IoV scenarios. Experiments demonstrate the effectiveness of the techniques deployed, including secure mapping, distributed verification, verified connectivity, and decentralized validation. The results of performance evaluations demonstrate that the proposed framework has improved computing efficiency, high communication effectiveness, and reduced overall delay. The system is also shown to be adaptable to various node densities and communication conditions. The experimental results show that the proposed framework achieves a computation cost of 4.29 ms, representing a 48.19% improvement over the best-performing existing methods. Similarly, the total communication cost of the framework is 176 ms, showing reductions of 65.22%, 51.38%, 76.56%, and 74.04% compared to previous approaches. Lastly, a security analysis confirms that the framework establishes a solid security foundation, and the results of a comparative analysis indicate its potential to strengthen the security of IoV networks.
Balasubramani Subbiyan, Bhabendu Kumar Mohanta, Renjith Prabhavathi Neelakandan et al.· IEEE Open Journal of Intelli...· 0 citations
