Research Article
VCIDS: Collaborative Intrusion Detection of Sensor and Actuator Attacks on Connected Vehicles
@INPROCEEDINGS{10.1007/978-3-319-78813-5_19, author={Pinyao Guo and Hunmin Kim and Le Guan and Minghui Zhu and Peng Liu}, title={VCIDS: Collaborative Intrusion Detection of Sensor and Actuator Attacks on Connected Vehicles}, proceedings={Security and Privacy in Communication Networks. 13th International Conference, SecureComm 2017, Niagara Falls, ON, Canada, October 22--25, 2017, Proceedings}, proceedings_a={SECURECOMM}, year={2018}, month={4}, keywords={Urban vehicular networks Intrusion detection Cyber-physical systems}, doi={10.1007/978-3-319-78813-5_19} }- Pinyao Guo
Hunmin Kim
Le Guan
Minghui Zhu
Peng Liu
Year: 2018
VCIDS: Collaborative Intrusion Detection of Sensor and Actuator Attacks on Connected Vehicles
SECURECOMM
Springer
DOI: 10.1007/978-3-319-78813-5_19
Abstract
Modern urban vehicles adopt sensing, communication and computing modules into almost every functioning aspect to assist humans in driving. However, the advanced technologies are inherently vulnerable to attacks, exposing vehicles to severe security risks. In this work, we focus on the detection of sensor and actuator attacks that are capable of actively altering vehicle behavior and directly causing damages to human beings and vehicles. We develop a collaborative intrusion detection system where each vehicle leverages sensing data from its onboard sensors and neighboring vehicles to detect sensor and actuator attacks without a centralized authority. The detection utilizes the unique feature that clean data and contaminated data are correlated through the physical dynamics of the vehicle. We demonstrate the effectiveness of the detection system in a scaled autonomous vehicle testbed by launching attacks through various attack channels.