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Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks
2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023
  • Mohammed Omar, Qatar University
  • Ahmed Badawy, Qatar University
  • Khalid Abulsaud, Qatar University
  • Elias Yaacoub, Qatar University
  • Mohsen Guizani, Mohamed Bin Zayed University of Artificial Intelligence
Document Type
Conference Proceeding
Abstract

With 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.

DOI
10.1109/SmartNets58706.2023.10216109
Publication Date
8-22-2023
Keywords
  • Deep learning,
  • Group key generation,
  • Physical layer security,
  • Spatial correlation
Comments

IR conditions: non-described

Citation Information
M. Omar, A. Badawy, K. Abulsaud, E. Yaacoub and M. Guizani, "Exploiting Spatial Correlations: Group Key Generation for Secure IoT Device Networks," 2023 International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, Turkiye, 2023, pp. 1-6, doi: 10.1109/SmartNets58706.2023.10216109.