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

Van Nhan Vo; Hung Tran; Chakchai So-In

doi:10.1109/JAS.2021.1004171

Volume 8 Issue 11

Nov. 2021

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(11): 1786-1799

V. N. Vo, H. Tran, and C. 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

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V. N. Vo, H. Tran, and C. 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

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

doi: 10.1109/JAS.2021.1004171

Van Nhan Vo^{1, 2, 3
,},
Hung Tran^4
,,
Chakchai So-In^{5
,
,}

1.
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
2.
Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam
3.
Applied Network Technology Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
4.
Faculty of Computer Science, Phenikaa University, Hanoi 100000, Vietnam
5.
Applied Network Technology Laboratory, Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand

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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Author Bio:
Van Nhan Vo is currently a Lecturer at Duy Tan University, Vietnam, and a postdoctoral researcher with the ANT Lab, Khon Kaen University, Thailand. He received the B.S., M.S., and Ph.D. degrees in Computer Science from the University of Da Nang in 2006 and Duy Tan University in 2014 in Da Nang, Vietnam, and from Khon Kaen University, Thailand, in 2019, respectively. His research interests include information security, physical-layer secrecy, radio frequency energy harvesting, non-orthogonal multiple access, wireless sensor networks, the Internet of Things, unmanned aerial vehicles, and the security of other advanced communication systems

Hung Tran received the B.S. and M.S. degrees in information technology from the Vietnam National University, Vietnam, in 2002 and 2006, respectively, and the Ph.D. degree from Blekinge Institute of Technology, Sweden, in March 2013. In 2014, he was with the Electrical Engineering Department, ETS, Montreal, Canada. From 2015 to 2020, he was a researcher at the Malardalen University, Sweden. Currently, he is working as a researcher at Computer Science Department, Phenikaa University, Hanoi, Vietnam. His major interests are cognitive radio networks, physical layer security, NOMA communication and energy harvesting. Besides doing research in the wireless communication, he is also interested in topics of natural language processing, and artificial intelligence which have been applied to develop Academic Gates platform (https://www.academicgates.com)

Chakchai So-In (SM’14) is a Professor in the Department of Computer Science at Khon Kaen University and received the Ph.D. degree in Computer Engineering from Washington University in St. Louis, MO, USA, in 2010. He has been an intern at CNAPNTU (SG), Cisco Systems, WiMAX Forums and Bell Labs (USA). His research interests include mobile computing, wireless sensor networks, signal processing, and computer networking and security. He has served as an editor at IEEE Access, PLOS ONE, SpringerPlus, PeerJ, and ECTI-CIT and as a committee member for many conferences/journals, such as Globecom, ICC, VTC, WCNC, ICNP, ICNC, PIMRC, IEEE Transactions, IEEE Letters/Magazines, and Computer Networks/Communications. He has authored over 100 publications and 10 books, including some in IEEE JSAC, IEEE Magazines, and Computer Network/Network Security Labs
Corresponding author: Chakchai So-In, e-mail: chakso@kku.ac.th
Received Date: 2021-01-15
Revised Date: 2021-01-30
Accepted Date: 2021-05-17

Available Online: 2021-06-02

Abstract

Abstract

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.
- Detection probability (DP),
- energy harvesting (EH),
- friendly UAV jammer,
- Internet of Things (IoT),
- system performance,
- UAV detection

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References(47)

References

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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

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

doi: 10.1109/JAS.2021.1004171

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通讯作者: 陈斌, bchen63@163.com

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