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AuthorGuizani, Mohsen
AuthorGouissem, A.
AuthorAbualsaud, K.
AuthorYaacoub, E.
AuthorKhattab, T.
Available date2024-10-23T07:15:27Z
Publication Date2020-03
Publication NameProceedings - 3rd International Conference on Information and Computer Technologies, ICICT 2020
Identifierhttp://dx.doi.org/10.1109/ICICT50521.2020.00081
CitationGuizani, M., Gouissem, A., Abualsaud, K., Yaacoub, E., & Khattab, T. (2020, March). Combating jamming attacks in multi-channel IoT networks using game theory. In 2020 3rd International Conference on Information and Computer Technologies (ICICT) (pp. 469-474). IEEE.
ISBN978-172817283-5
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85085574832&origin=inward
URIhttp://hdl.handle.net/10576/60463
AbstractJamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the increase in transmission power or the implementation of complex coordination schemes which are not feasible in limited resources Internet of Things (IoT) devices. Therefore, in this paper, a defending strategy against jamming attacks is designed for health monitoring IoT networks with multiple Orthogonal frequency-division multiplexing (OFDM) slow fading channels. In particular, minimizing the worst case jamming effect on the IoT sensors communications is modeled as a Colonel Blotto game. By analyzing the Nash Equilibrium (NE) of the game, an anti-jamming power allocating strategy is proposed and is shown to be effective in combating jamming attacks without the need for extra power and resources.
SponsorThis publication was made possible by the NPRP award [NPRP 10-1205-160012] from the Qatar National Research Fund (a member of The Qatar Foundation).
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc. (IEEE)
SubjectGame theory
Jamming attacks
Multi channel IoT networks
TitleCombating jamming attacks in multi-channel IoT networks using game theory
TypeConference Paper
Pagination469-474
dc.accessType Full Text


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