An Enhanced Lightweight Secure Authentication and Privacy-Preserving Approach for VANETs

Aims and Background: Vehicular-Adhoc-Networks (VANETs) have gained a lot of attention in the past ten years. Used extensively in intelligent transport systems (ITS), it facilitates the sharing of traffic data between vehicles and their immediate surroundings, resulting in a more pleasant driving experience. When it comes to VANET security, privacy and security are the two biggest obstacles. To improve security in VANET, authentication and privacy-preserving methods are required because any specific disclosure of vehicle specifics, including route data, might have devastating consequences. Objectives & Methodology: In light of this need, this research introduces a novel framework for VANETs called enhanced timed efficient stream loss-tolerant authentication (ETESLTA), which enables a new kind of lightweight authentication while simultaneously protecting users' privacy. Initialisation, registration, mutual authentication, broadcasting and verification, and vehicle revocation are all parts of the suggested model. Furthermore, the ETESLTA method requires very little memory while yet providing excellent broadcast authentication, just like TESLTA. In addition, the ETESLTA method incorporates a cuckoo filter to record the real details of cars inside the RSU's detection range. Results: The suggested approach provides strong anonymity to achieve privacy and resists common assaults, and it features lightweight mutual authentication between the parties. A wide scale of experiments are conducted and the outcomes are evaluated in terms of numerous metrics to ensure the ETESLTA technique performs well. Conclusion: The experimental results demonstrated that the ETESLTA method was superior to the most current state-of-the-art approaches.