Hyperelliptic curve signcryption based privacy preserving message authentication and fuzzy TOPSIS-based trust management scheme for fog enabled VANET

In open-access and self-organized network like Vehicular Ad Hoc Network (VANETs), privacy and trust are two dimensions of security which need to be enforced for preventing and mitigating the possible compromization of attacks. Trust is an important aspect which aids in assessing the degree of cooperation rendered by each vehicular node in the fog-enabled VANETs. In specific, the selfish behavior of vehicular nodes degrades the network performance and prevents the cooperative vehicle from attaining potential merits from the network using the process of false information broadcasting. In this context, a reliable and efficient model of security that helps in handling the impact of existing selfish node and malicious attacks in the network becomes necessary. In this paper, hyperelliptic curve signcryption based privacy preserving message authentication and Fuzzy TOPSIS-based trust management (HCSPPMA) scheme is proposed for tackling the influence of malicious attacks and selfish nodes for attaining maximized data dissemination process. This HCSPPMA scheme utilized the potentialities of hyperelliptic curve signcryption mechanism for determining the vehicular nodes legitimacy and for attaining the process of node authentication. It included the benefits of Fuzzy TOPSIS-based trust management scheme for exploring different impact factors that aids in determining the trust established between vehicular nodes during message exchanges in fog-enabled VANETs. This approach is deployed over fog nodes instead of Road Side Units (RSUs) for improving the throughput and reducing the latency. The results of this HCSPPMA scheme confirmed low false positive rates of 22.19%, minimized communication overhead of 24.12%, compared to the benchmarked approaches.