ErrIDS: An Enhanced Cumulative Timing Error-Based Automotive Intrusion Detection System

Contemporary vehicles have undergone numerous transformations to become fully computerized machines. This computerizing process is intended to provide safety and convenience for drivers; however, there have been many studies demonstrating how to remotely maneuver a vehicle by compromising its in-vehicle electronic control units (ECU). As a countermeasure, automotive intrusion detection systems (IDSs) have also been extensively explored as potential remedies. The clock-based IDS was one of the most promising methods for an automotive IDS, but researchers have recently determined it to be insufficient, as adversaries can emulate the clock skew. In this paper, the authors propose a novel automotive IDS that leverages the residuals—which have traditionally been considered an error that should be removed from analysis—of average and actual timestamp intervals of two consecutive controller area network (CAN) messages. Thus, they present a rationale as to why large residuals occur in a real in-vehicle CAN network. Their method analyzes transmission periodicity so closely that any minuscule change can be detected in the event of an intrusion. They show that their method detects a vehicle intrusion with a low false-alarm rate, and that it can detect a new sophisticated attack which emulates the clock skew of an original transmission. To the best of their knowledge, this is the first approach analyzing transmission time to detect the frequency masquerading attack with clock skew emulation. Finally, their method enables the sharing of parameters determined in a vehicle with other like models, which is meaningful for manufacturers in terms of scalability.

• Record URL:
  • http://dx.doi.org/10.1109/TITS.2023.3293517
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • Lee, Seyoung
  • Choi, Wonsuk
  • Jo, Hyo Jin
  • Lee, Dong Hoon
• Publication Date: 2023-11

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 12406-12421
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 24
  • Issue Number: 11
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Computer network protocols; Computer security; Detection and identification system applications; Electronic controllers
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01909967
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 27 2024 10:09AM