Enhancing Security in Vehicular Networks

The research area of inter-vehicle networks (VANET) is witnessing significant advancements aimed at enhancing security and reliability. A notable trend is the integration of dynamic security models that adapt to evolving cyber threats, ensuring robust protection for automotive systems. This approach leverages threat analysis and risk assessment to continuously update security measures, thereby strengthening the resilience of vehicular networks. Additionally, the emerging vehicular Metaverse is introducing novel security frameworks to counter data poisoning attacks from malicious IoT devices. These frameworks employ reputation-based incentive mechanisms to evaluate and maintain the trustworthiness of participating devices, ensuring the integrity of data collection and service delivery. Overall, the field is progressing towards more adaptive and comprehensive security solutions that address both current and future challenges in vehicular communications.

Sources

Presenting a new approach in security in inter-vehicle networks (VANET)

ACTISM: Threat-informed Dynamic Security Modelling for Automotive Systems

VMGuard: Reputation-Based Incentive Mechanism for Poisoning Attack Detection in Vehicular Metaverse

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