VCIDS: Collaborative intrusion detection of sensor and actuator attacks on connected vehicles

Pinyao Guo, Hunmin Kim, Le Guan, Minghui Zhu, Peng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSecurity and Privacy in Communication Networks - 13th International Conference, SecureComm 2017, Proceedings
EditorsAli Ghorbani, Xiaodong Lin, Kui Ren, Sencun Zhu, Aiqing Zhang
PublisherSpringer Verlag
Pages377-396
Number of pages20
ISBN (Print)9783319788128
DOIs
Publication statusPublished - Jan 1 2018
Event13th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2017 - [state] ON, Canada
Duration: Oct 22 2017Oct 25 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume238
ISSN (Print)1867-8211

Other

Other13th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2017
CountryCanada
City[state] ON
Period10/22/1710/25/17

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Guo, P., Kim, H., Guan, L., Zhu, M., & Liu, P. (2018). VCIDS: Collaborative intrusion detection of sensor and actuator attacks on connected vehicles. In A. Ghorbani, X. Lin, K. Ren, S. Zhu, & A. Zhang (Eds.), Security and Privacy in Communication Networks - 13th International Conference, SecureComm 2017, Proceedings (pp. 377-396). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 238). Springer Verlag. https://doi.org/10.1007/978-3-319-78813-5_19