Publication

Abstract : Vehicular Ad Hoc Networks (VANETs) enable communication between vehicles and roadside units to improve road safety and traffic efficiency. However, the wireless nature and the constant movement of vehicles make VANETs vulnerable to security threats. Malicious nodes can disrupt the network by spreading false information, which can compromise the reliability of message delivery. A significant threat is the Sybil attack, where attackers create fake identities to deceive legitimate nodes, sending misleading data like false traffic alerts or incorrect directions. This can disrupt traffic management and endanger road safety. Traditional security methods, such as authentication or encryption, are less effective in VANETs due to their dynamic and distributed nature. This study proposes a game-theoretic approach to detect and mitigate Sybil attacks in VANETs. By modeling strategic interactions, our method identifies malicious behavior and minimizes the impact of fake nodes. The proposed system achieves high detection accuracy by analyzing key indicators, including the Angle of Arrival (AoA), Trust Score, Entropy, and Beacon Count. We evaluated the approach using Network Simulator 2 (NS2.34), demonstrating its effectiveness in enhancing network security. This methodology strengthens VANET resilience, ensuring safer and more reliable vehicular communication.