Sharmin, Shaila and Mansor, Hafizah and Abdul Kadir, Andi Fitriah and Abdul Aziz, Normaziah (2024) Benchmarking frameworks and comparative studies of Controller Area Network (CAN) intrusion detection systems: a review. Journal of Computer Security, 32 (5). pp. 477-507. ISSN 0926-227X E-ISSN 1875-8924
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Abstract
The development of intrusion detection systems (IDS) for the in-vehicle Controller Area Network (CAN) bus is one of the main efforts being taken to secure the in-vehicle network against various cyberattacks, which have the potential to cause vehicles to malfunction and result in dangerous accidents. These CAN IDS are evaluated in disparate experimental conditions that vary in terms of the workload used, the features used, the metrics reported, etc., which makes direct comparison difficult. Therefore, there have been several benchmarking frameworks and comparative studies designed to evaluate CAN IDS in similar experimental conditions to understand their relative performance and facilitate the selection of the best CAN IDS for implementation in automotive networks. This work provides a comprehensive survey of CAN IDS benchmarking frameworks and comparative studies in the current literature. A CAN IDS evaluation design space is also proposed in this work, which draws from the wider CAN IDS literature. This is not only expected to serve as a guide for designing CAN IDS evaluation experiments but is also used for categorising current benchmarking efforts. The surveyed works have been discussed on the basis of the five aspects in the design space – namely, IDS type, attack model, evaluation type, workload generation, and evaluation metrics – and recommendations for future work have been identified.
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Controller area network, intrusion detection, benchmarking, evaluation |
| Subjects: | T Technology > T Technology (General) |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
| Depositing User: | Hafizah Mansor |
| Date Deposited: | 30 Jan 2025 11:36 |
| Last Modified: | 30 Jan 2025 14:09 |
| URI: | http://irep.iium.edu.my/id/eprint/114781 |
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