Detecting BrakTooth attacks

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DOI	Trouver le DOI : https://doi.org/10.5220/0012128000003555
Auteur	Rechercher : Nandikotkur, Achyuth Identifiant ORCID : https://orcid.org/0000-0001-7098-8374; Rechercher : Traore, Issa Identifiant ORCID : https://orcid.org/0000-0003-2987-8047; Rechercher : Mamun, Mohammad¹Identifiant ORCID : https://orcid.org/0000-0002-4045-8687
Affiliation	Conseil national de recherches Canada. Technologies numériques
Format	Texte, Article
Conférence	20th International Conference on Security and Cryptography (SECRYPT 2023), July 10-12, 2023, Rome, Italy
Sujet	bluetooth security; intrusion detection; machine learning; BrakTooth
Résumé	More than 5.1 billion Bluetooth-enabled devices were shipped in the year 2022 and this trend is expected to exceed 7.1 billion by the year 2026. A large proportion of these devices are used in smart homes designed for older adults, to help them age in place. Monitoring vitals, climate control, illumination control, fall detection, incontinence detection, pill dispensing, and several other functions are successfully addressed by many of these Bluetooth-enabled devices. Therefore it becomes crucial to protect them from malicious attacks and ensure the safety and well-being of their users. Some of these devices have only Bluetooth connectivity which makes patching them challenging for older adults, as a result, most remain unpatched. The family of vulnerabilities recently found in the Bluetooth Classic (BT Classic) stack called BrakTooth, poses a genuine threat to such devices. In this study, we develop an experimental procedure to capture traffic at the Link Manager Protocol (LMP) layer of the BT Classic stack and use machine learning algorithms to detect BrakTooth-based attacks.
Date de publication	2023-07-12
Maison d’édition	SciTePress
Licence	Creative Commons Attribution - Pas d'utilisation commerciale - Pas de modification 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
Dans	Proceedings of the 20th International Conference on Security and Cryptography (SECRYPT 2023) Volume 1 (12 juillet 2023) : 787–792.
Langue	anglais
Publications évaluées par des pairs	Oui
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	78f0679f-6437-4112-b3eb-2e32f083e6b7
Enregistrement créé	2023-11-22
Enregistrement modifié	2023-11-27

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