Efficient Privacy Preserving Lightweight Cryptography for Multi-hop Clustering in Internet of Vehicles Network

Abstract

Abstract The Internet of Vehicles (IoV) is an element of the global connectivity infrastructure Connected vehicles are beneficial to the health of their users in a significant way. However, several drawbacks have been identified, creating the potential for compromised Internet of Vehicles devices. Moreover, the high mobility results in high energy consumption, which reduces the network's overall performance. The Efficient Privacy-preserving Lightweight-cryptography for Cluster-based Internet of Vehicles (EPLC-IoV) model that has been proposed is divided into five distinct sections. These include the perception layer, attack characteristics, a novel clustering strategy, energy-efficient multi-hop clustering along with adaptive link selection through an enhanced AODV protocol. Additionally, the proposed system performed identity authentication and protected users' privacy in some use cases, making V2V communication messages more trustworthy by allowing anonymous trust relationship authentication. Because, the proposed system allowed for anonymous authentication trust relationships, between vehicle nodes. The proposed model was evaluated alongside several established methodologies, including AODV, EPAM, and EMSUNET. The significant parameters focused in this work are packet delivery ratio (PDR), i.e., increased up to 82%, End to End delay (E2E_Delay) decreased up to above 50%, leading to the improved network lifetime.