arXiv:2606.30430v1 Announce Type: cross Abstract: The increasing connectivity of modern vehicles has made securing in-vehicle communication networks a critical challenge. Intrusion Detection Systems (IDS) have been widely studied as a defense mechanism for detecting malicious activities on the Controller Area Network (CAN) bus. However, the evaluation of CAN IDS methods remains difficult due to inconsistencies in experimental setups and the lack of standardized benchmarking frameworks. As a result, reported performance often depends on dataset-specific characteristics and may not reflect how d
The increasing connectivity of modern vehicles is creating new attack surfaces, making robust cybersecurity solutions for automotive networks an immediate priority.
This paper highlights critical weaknesses in the evaluation of automotive IDS, which is fundamental for ensuring vehicle safety and cybersecurity as autonomous and connected vehicles become more prevalent.
The current, inconsistent evaluation of automotive IDS requires a more standardized and rigorous approach, impacting future development and deployment strategies for in-vehicle security.
- · Cybersecurity research institutions
- · Automotive cybersecurity companies
- · Standardization bodies
- · Vehicle manufacturers
- · Cyber attackers targeting vehicles
- · Weakly-tested automotive IDS solutions
- · Consumers of insecure connected vehicles
Improved, standardized evaluation methods will lead to more reliable Intrusion Detection Systems for vehicles.
Enhanced vehicle cybersecurity will increase consumer trust in connected and autonomous vehicle technologies, accelerating adoption.
Robust in-vehicle security could become a competitive differentiator for car manufacturers and potentially influence regulatory frameworks for vehicle safety and data privacy.
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Read at arXiv cs.LG