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Volume 8 Issue 11
Nov.  2021

IEEE/CAA Journal of Automatica Sinica

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Van Nhan Vo, Hung Tran and Chakchai So-In, "Enhanced Intrusion Detection System for an EH IoT Architecture Using a Cooperative UAV Relay and Friendly UAV Jammer," IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1786-1799, Nov. 2021. doi: 10.1109/JAS.2021.1004171
Citation: Van Nhan Vo, Hung Tran and Chakchai So-In, "Enhanced Intrusion Detection System for an EH IoT Architecture Using a Cooperative UAV Relay and Friendly UAV Jammer," IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1786-1799, Nov. 2021. doi: 10.1109/JAS.2021.1004171

Enhanced Intrusion Detection System for an EH IoT Architecture Using a Cooperative UAV Relay and Friendly UAV Jammer

doi: 10.1109/JAS.2021.1004171
Funds:  This work was supported in part by Thailand Science Research and Innovation (TSRI) and National Research Council of Thailand (NRCT) via International Research Network Program (IRN61W0006) and by Khon Kaen University, Thailand. Van Nhan Vo and Hung Tran have equal contributions on this paper
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  • In this paper, the detection capabilities and system performance of an energy harvesting (EH) Internet of Things (IoT) architecture in the presence of an unmanned aerial vehicle (UAV) eavesdropper (UE) are investigated. The communication protocol is divided into two phases. In the first phase, a UAV relay (UR) cooperates with a friendly UAV jammer (UJ) to detect the UE, and the UR and UJ harvest energy from a power beacon (PB). In the second phase, a ground base station (GBS) sends a confidential signal to the UR using non-orthogonal multiple access (NOMA); the UR then uses its harvested energy to forward this confidential signal to IoT destinations (IDs) using the decode-and-forward (DF) technique. Simultaneously, the UJ uses its harvested energy to emit an artificial signal to combat the detected UE. A closed-form expression for the probability of detecting the UE (the detection probability, DP) is derived to analyze the detection performance. Furthermore, the intercept probability (IP) and throughput of the considered IoT architecture are determined. Accordingly, we identify the optimal altitudes for the UR and UJ to enhance the system and secrecy performance. Monte Carlo simulations are employed to verify our approach.

     

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    Highlights

    • The detection capabilities and system performance of an EH IoT architecture
    • A UR cooperates with a friendly UJ to detect the UE in 3D space
    • The closed-form expressions for the DP, throughput, and IP
    • The trade-off between throughput and secrecy performance
    • The optimal altitudes of the UR and UJ to improve the system and secrecy performance

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