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AuthorOmar, Mohammed
AuthorBadawy, Ahmed
AuthorAbulsaud, Khalid
AuthorYaacoub, Elias
AuthorGuizani, Mohsen
Available date2023-11-09T05:32:43Z
Publication Date2023-01-01
Publication Name2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023
Identifierhttp://dx.doi.org/10.1109/SmartNets58706.2023.10216109
CitationOmar, M., Badawy, A., Abulsaud, K., Yaacoub, E., & Guizani, M. (2023, July). Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks. In 2023 International Conference on Smart Applications, Communications and Networking (SmartNets) (pp. 1-6). IEEE.‏
ISBN9798350302523
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85170642525&origin=inward
URIhttp://hdl.handle.net/10576/49087
AbstractWith the exponential growth in IoT devices, especially in healthcare systems, where multiple devices are attributed to one person, the need for a secure and effective group secret key (GSK) generation is intrinsic. GSKs facilitate simplified and energy-efficient key management. Moreover, GSKs are suitable for encrypting broadcast control and alert messages. Existing group key generation schemes show many pitfalls, with the majority of them being either computationally inefficient or impractical. In this paper, we propose a novel approach to generating GSKs by exploiting the channel state information (CSI) of spatially correlated IoT nodes. We implement a feedforward neural network (FNN) for identical channel feature generation for the nodes. We then employ a group key generation scheme based on the generated channel features. Results verify the performance of the proposed scheme and demonstrate outstanding performance in the presence of a passive adversary.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectDeep learning
Group key generation
Physical layer security
Spatial correlation
TitleExploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks
TypeConference Paper
Pagination1-6
dc.accessType Abstract Only


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