A fuzzy-based trust evaluation framework for efficient privacy preservation and secure authentication in VANET

Abstract

ABSTRACT The Vehicular Adhoc Network (VANET) is a newly added smart technique in vehicles to ensure safety and reduce time consumption. Even though it saves time and guarantees safe travel, security and privacy are the most difficult issues in the VANET. Moreover, this is due to the fact that the methods exploit public key infrastructure, group signature, etc., Meanwhile, the hackers can acquire the sensitive data’s which are usually kept in the tamper-proof devices by using side-channel attacks. The VANET also possesses several security-related issues. To circumvent this we propose an efficient privacy-preserving and fuzzy-based trust evaluation scheme. This method ensures the security and authenticity of the VANET. To ensure security our proposed method utilizes a modified Elliptical Curve cryptographic (ECC) method which also reduces the computational complexities created by the conventional ECC. In our proposed method the TPD parameters are renewed more often to eliminate the attacks and permits batch verification methods to reduce the time. The experimental analysis is conducted in Matlab simulator in terms of computational cost, communication cost, evaluation of trustworthiness, privacy protection. The experimental analysis shows that proposed method provides 94% of trustworthiness and time consumption and communication overheads are reduced to greater extent.