• Er. Sumanpreet Kaur

Vehicular Ad-Hoc Networks (VANETs) are a critical component of intelligent transportation systems, enabling real-time communication among vehicles and infrastructure to ensure road safety and traffic efficiency. However, the dynamic and decentralized nature of VANETs makes them vulnerable to various security threats, particularly grey-hole attacks. In such attacks, malicious nodes selectively drop packets, disrupting communication and compromising network reliability. This research proposes a trust-based malicious node detection framework aimed at mitigating grey-hole attacks in VANET environments. The proposed technique evaluates the trustworthiness of nodes based on parameters such as packet forwarding behavior, communication consistency, and historical performance. Nodes exhibiting suspicious behavior are dynamically isolated from the network to maintain the integrity of data transmission. Simulation results demonstrate that the trust-based model significantly improves packet delivery ratio, reduces end-to-end delay, and enhances overall network resilience against grey-hole threats. This approach offers a lightweight, scalable, and effective solution for securing VANETs in real-time communication scenarios.

VANETs (Vehicular Ad-Hoc Networks), Grey-Hole Attacks, Trust-Based Detection, Malicious Node Identification, Network Security, Packet Dropping, Node Trust Evaluation, Vehicular Communication, Intrusion Detection, and Secure Routing Protocols

"SECURING VANETs FROM GREY-HOLE ATTACKS USING TRUST-BASED MALICIOUS NODE DETECTION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.971-978, February-2022, Available :http://www.jetir.org/papers/JETIR2002545.pdf

"SECURING VANETs FROM GREY-HOLE ATTACKS USING TRUST-BASED MALICIOUS NODE DETECTION TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp971-978, February-2022, Available at : http://www.jetir.org/papers/JETIR2002545.pdf