TY - GEN
T1 - Pearson Correlation Analysis to Detect Misbehavior in VANET
AU - Sharma, Prinkle
AU - Petit, Jonathan
AU - Liu, Hong
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Vehicular Ad-hoc Networks (VANET) rely on Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication to improve road safety and traffic efficiency. Therefore, malicious data could jeopardize the benefits of VANET communication. Hence, a data-centric misbehavior detection system should be deployed on each on-board unit to improve confidence in the received data. In this paper, we investigate the potential of using Pearson Correlation to detect location forging attacks. We analyze four location forging attacks and discuss how the correlation matrix detect them. The proposed solution works in real-time, without any training, but, depending on the type of road, requires at least four to seven seconds of history to be fully effective. Experiments are performed on real datasets from Wyoming Connected Vehicle Pilot Deployment and from University of Michigan Transportation Research Institute.
AB - Vehicular Ad-hoc Networks (VANET) rely on Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication to improve road safety and traffic efficiency. Therefore, malicious data could jeopardize the benefits of VANET communication. Hence, a data-centric misbehavior detection system should be deployed on each on-board unit to improve confidence in the received data. In this paper, we investigate the potential of using Pearson Correlation to detect location forging attacks. We analyze four location forging attacks and discuss how the correlation matrix detect them. The proposed solution works in real-time, without any training, but, depending on the type of road, requires at least four to seven seconds of history to be fully effective. Experiments are performed on real datasets from Wyoming Connected Vehicle Pilot Deployment and from University of Michigan Transportation Research Institute.
KW - Misbehavior Detection
KW - pearson correlation
KW - position forging attacks
KW - security
KW - vehicular networks
UR - https://www.scopus.com/pages/publications/85064914562
U2 - 10.1109/VTCFall.2018.8690964
DO - 10.1109/VTCFall.2018.8690964
M3 - Conference contribution
T3 - IEEE Vehicular Technology Conference
BT - 2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Y2 - 27 August 2018 through 30 August 2018
ER -