@inproceedings{7a56431a860946d8b60dd054dc334361,
title = "VCIDS: Collaborative intrusion detection of sensor and actuator attacks on connected vehicles",
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.",
author = "Pinyao Guo and Hunmin Kim and Le Guan and Minghui Zhu and Peng Liu",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 13th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2017 ; Conference date: 22-10-2017 Through 25-10-2017",
year = "2018",
doi = "10.1007/978-3-319-78813-5_19",
language = "English (US)",
isbn = "9783319788128",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "377--396",
editor = "Ali Ghorbani and Xiaodong Lin and Kui Ren and Sencun Zhu and Aiqing Zhang",
booktitle = "Security and Privacy in Communication Networks - 13th International Conference, SecureComm 2017, Proceedings",
address = "Germany",
}