A Survey of Attacks on Controller Area Networks and Corresponding Countermeasures
- Authors
- Jo, Hyo Jin; Choi, Wonsuk
- Issue Date
- Jul-2022
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Automotive engineering; Wireless communication; Telematics; Universal Serial Bus; Transceivers; Security; Audio systems; Controller area network; vulnerabilities; intrusion detection system; authentication
- Citation
- IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.23, no.7, pp.6123 - 6141
- Journal Title
- IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Volume
- 23
- Number
- 7
- Start Page
- 6123
- End Page
- 6141
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42756
- DOI
- 10.1109/TITS.2021.3078740
- ISSN
- 1524-9050
- Abstract
- The development of vehicle technologies such as connected and autonomous vehicle environments provide drivers with functions for convenience and safety that are highly capable of remote vehicle diagnosis or lane-keeping assistance. Unfortunately, despite impressive advantages for drivers, these functions also have various vulnerabilities that could lead to cyber-physical attacks on automotive Controller Area Networks (i.e., automotive CAN). To deal with these security issues, a multitude of issue-specific countermeasures have already been proposed. In this paper, we introduce existing research on automotive CAN attacks and evaluate several state-of-the-art countermeasures. Particularly, we provide a comprehensive adversary model for automotive CAN and classify existing countermeasures into four system categories: (1) preventative protection, (2) intrusion detection, (3) authentication, and (4) post-protection. From the extensive literature review, we attempt to summarize the security research regarding automotive CAN and identify open research directions for in-vehicle networks of autonomous vehicle.
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