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

DOITrouver le DOI : https://doi.org/10.1109/SM63044.2024.10733433
AuteurRechercher : 1; Rechercher :
Affiliation
  1. Conseil national de recherches Canada. Technologies numériques
FormatTexte, Article
Conférence2024 IEEE International Conference on Smart Mobility (SM), September 16-18, 2024, Niagara Falls, ON, Canada
Sujetgovernance; smart mobility; cybersecurity; machine learning; decentralization; access control; systematics; authentication; real-time systems; safety; computer security; monitoring; anomaly detection
Résumé
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.
Date de publication
Maison d’éditionIEEE
Dans
  • 2024 IEEE International Conference on Smart Mobility (SM), 10733433 (30 octobre 2024) : 189–196.
Langueanglais
Publications évaluées par des pairsOui
Exporter la noticeExporter en format RIS
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Identificateur de l’enregistrement67ea1c8f-754e-42f2-bd9b-dcb49f3583d4
Enregistrement créé2024-11-07
Enregistrement modifié2024-11-08

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