An Efficient Black-hole and Worm-hole Attacks Resilient Scheme for Cloud and Fog-Assisted Internet of Vehicles

Abstract

The Internet of Vehicles IoV is a distributed network that supports the use of data created by connected cars and vehicular ad-hoc networks VANETs for real-time communication among the vehicles and other infrastructures in the network Although IoV increases safety and efficient information exchange in transportation its inter-connectivity exposes the vehicles and the people to different cyber-attacks such as black-hole and worm-hole which are capable of disrupting the network In this paper we identify the black-hole and worm-hole attacks as the major security threats to the IoV technology We then propose periodic-time slicing and trust factor approaches to detect and prevent a black-hole attack and a cryptography procedure to prevent other IoV related cyber-attacks