Addressing rushing attacks in VANETs: a comprehensive two-tier QoS-based approach

Vehicular Adhoc Networks (VANETs) enable real-time safety communication among vehicles but face security threats like rushing attacks. This study proposes a two-tier approach leveraging Quality-of-Service (QoS) to detect assaults. QoS factors divide vehicles into white and black categories based on distance, energy and bandwidth. Cluster Head (CH) nodes are selected based on trust and delay parameters. The Self-Adaptive Poor Rich Optimisation (SA-PRO) algorithm detects rushing attacks and other threats. NS2 simulator implementation evaluates energy usage, drop, fairness index and latency. Results show promising performance, with a 98% reduction in energy consumption. Additionally, the proposed approach ensures effective detection and mitigation of Sybil and DoS attacks, as well as GPS spoofing, enhancing the overall security of VANETs. The findings suggest that the two-tier approach with QoS and SA-PRO algorithm significantly improves the resilience and efficiency of VANET systems.