Muhammad Waqas1, 2, Shanshan Tu1, 3, *, Sadaqat Ur Rehman1, Zahid Halim2, Sajid
Anwar2, Ghulam Abbas2, Ziaul Haq Abbas4, Obaid Ur Rehman5
CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 359-371, 2020, DOI:10.32604/cmc.2020.09821
Abstract Security threats to smart and autonomous vehicles cause potential
consequences such as traffic accidents, economically damaging traffic jams, hijacking,
motivating to wrong routes, and financial losses for businesses and governments. Smart
and autonomous vehicles are connected wirelessly, which are more attracted for attackers
due to the open nature of wireless communication. One of the problems is the rogue
attack, in which the attacker pretends to be a legitimate user or access point by utilizing
fake identity. To figure out the problem of a rogue attack, we propose a reinforcement
learning algorithm to identify rogue nodes by exploiting the channel state… More >
Login
Register
