PV+TESLA: A Secure Integrated Approach to Reduce Message Verification Delay in V2V Networks

Mujahid Muhammad (Corresponding / Lead Author), Ghazanfar Ali Safdar

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Vehicle-to-Vehicle (V2V) broadcast communication plays a crucial role in ensuring road safety in Intelligent Transport System (ITS) domain, but ensuring the authenticity and integrity of exchanged messages used by safety applications presents challenges. While the Timed Efficient Stream Loss-tolerant Authentication (TESLA) offers low computation overhead as it is primarily built on symmetric cryptographic primitives like MAC and hash chain technique, its inherent authentication delay may exceed the tolerable latency for future safety applications. To address these issues, we propose the Prompt Verification (PV) model, a modified version of TESLA which eliminates authentication delay by broadcasting the verification key with the message. Although the PV model provides benefits such as faster message verification and prevention of memory-based DoS attacks, it introduces a vulnerability exploitable by malicious users. To mitigate this vulnerability, we conduct a comprehensive analysis, evaluating its significance through a developed threat model and risk analysis framework. Our findings underscore the substantial risk posed by impersonation attacks, which could endanger lives and property. To counter these risks, we propose to integrate PV with TESLA, complemented by RSSI based message consistency checking scheme (RMCCS) for enhanced lightweight false message detection. Simulation results demonstrate an 85% reduction in authentication delays compared with standard TESLA and existing schemes, along with increased resilience against impersonation attacks. The PV+TESLA model, integrated with RMCCS, offers a robust solution for securing safety messages in V2V broadcast communication systems, showcasing its practical viability and effectiveness.
    Original languageEnglish
    Article number32
    JournalJournal of Network and Systems Management
    Volume33
    DOIs
    Publication statusPublished (VoR) - 15 Feb 2025

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