Summary
IEICE Information and Communication Technology Forum
2018
Session Number:SESSION02
Session:
Number:SESSION02_4
A False Information Attack Detection Scheme using Density of Vehicles and Overlap of Communication Range in VANET
Masashi Yoshida, Hiromu Asahina, Shuichiro Haruta, Iwao Sasase,
pp.-
Publication Date:2018/8/31
Online ISSN:2188-5079
DOI:10.34385/proc.32.SESSION02_4
Summary:
In Vehicular Ad Hoc Network (VANET), it is important to detect a false information attack, by which attackers try to stage traffic accidents. The state of the art of the false information detection scheme detects the attacker by leveraging that the attacker sends traffic flow differs from both the average traffic flow of the neighbor vehicles in the same area and the theoretical traffic flow calculated from the mathematical relation among the density, speed and the traffic flow. However, this scheme cannot detect an attacker who tries to gradually manipulate the legitimate traffic flows by repeatedly sending a false speed, density or traffic flow that does not differ from the theoretical traffic flow and the average traffic flow. In this paper, we propose a false information attack detection scheme using density of vehicles and the overlap of vehiles communication range. Since the vehicle density is calculated through the number of neighbor vehicles and diameter of the communication range, the validity of the density can easily be verified through the number of vehicles in the overlap of vehicles communication range. By using this verified density and the mathematical relation mentioned above, the false traffic flow can be easily detected. Simulation results show that the proposed scheme improves the true positive rate of the false speed by 50% at most and of the false traffic flow by 87.5% at most.