An efficient security and privacy approach for internet of vehicles in vehicular networks for smart cities

Abstract

Intelligent sensing plays a crucial role in making vehicles safe and trouble-free. The purpose of this paper is to introduce Vehicular Sensor Networks (VSNs) in a vehicular IoT-based smart city paradigm, focusing on security. Furthermore, we discuss the robustness and reliability of VSN. In this design, Ad hoc On-Demand Distance Vector (AODV) routing-based Internet of Vehicles is integrated with a privacy-aware secure ant colony optimization for smart cities in which suspicious vehicles are prevented from disseminating messages. IoV real-time communication emphasizes data security. A comparison of experimental results shows that the proposed approach outperforms existing approaches. Smart city communication networks can be optimized using the proposed model.