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Cybersecurity governance considerations for smart mobility systems: incremental considerations arising from decentralization and machine learning

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1109/SM63044.2024.10733433
AuthorSearch for: 1; Search for:
Affiliation
  1. National Research Council Canada. Digital Technologies
FormatText, Article
Conference2024 IEEE International Conference on Smart Mobility (SM), September 16-18, 2024, Niagara Falls, ON, Canada
Subjectgovernance; smart mobility; cybersecurity; machine learning; decentralization; access control; systematics; authentication; real-time systems; safety; computer security; monitoring; anomaly detection
Abstract
Future smart mobility systems are predicted to rely on artificial intelligence (specifically, machine learning), and to involve multiple mobility components, sometimes operated by different parties. These features raise incremental cybersecurity challenges which need to be reflected in cybersecurity governance requirements. This article sets out these incremental key challenges and examines the extent to which existing research provides the foundation for related cybersecurity governance requirements. Key considerations supported by the existing literature are discussed, and gaps and areas for future research are identified. Specific areas where additional research is needed to support governance include: data flow monitoring, anomaly detection, explainability, identity authentication, access control, and privacy-enhancing technologies.
Publication date
PublisherIEEE
In
  • 2024 IEEE International Conference on Smart Mobility (SM), 10733433 (30 October 2024): 189–196.
LanguageEnglish
Peer reviewedYes
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Record identifier67ea1c8f-754e-42f2-bd9b-dcb49f3583d4
Record created2024-11-07
Record modified2024-11-08
Date modified: