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