University of Oulu

B. Yang, T. Taleb, Y. Fan and S. Shen, "Mode Selection and Cooperative Jamming for Covert Communication in D2D Underlaid UAV Networks," in IEEE Network, vol. 35, no. 2, pp. 104-111, March/April 2021, doi: 10.1109/MNET.011.2000100

Mode selection and cooperative jamming for covert communication in D2D underlaid UAV networks

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Author: Yang, Bin1,2; Taleb, Tarik2,3,4; Fan, Yuanyuan5;
Organizations: 1School of Computer and Information Engineering, Chuzhou University, 239000 Anhui, China
2Department of Communications and Networking, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland
3Information Technology and Electrical Engineering, Oulu University, 90570 Oulu, Finland
4Department of Computer and Information Security, Sejong University, Seoul, 05006 South Korea
5School of Mathematics and Finance,Chuzhou University, 239000 Anhui, China
6School of Information and Technology, Kunming University, 650214 Kunming, China
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-06-01


The integration of unmanned aerial vehicle (UAV) networks and device-to-device (D2D) communications is expected to provide ubiquitous connectivity and high-speed rates for sensitive information transmission in future wireless networks. However, the traditional cryptography and physical layer security techniques still cannot prevent adversaries from knowing the existence of information transmission such that they further launch attacks on transmitters and receivers. Covert communication can offer an even stronger level of security via hiding the information transmission process of wireless networks. In this article, we first integrate D2D communications into UAV networks, and then investigate the fundamental issues of mode selection and cooperative jamming for covert communication in such networks, aiming to provide a powerful security solution to support widespread securi-ty-sensitive applications of such networks. To this end, we propose two promising D2D underlaid UAV network architectures, whereby each UAV acts as either a flying BS or an aerial UE. Then, we propose a covert communication strategy by combining mode selection and cooperative jamming, where mode selection allows each user equipment to adaptively switch between half-du-plex and full-duplex communication modes, and cooperative jamming means that idle D2D pairs inject interference to confuse adversaries. The goal of the proposed strategy is to enhance covert capacity performance (i.e., the maximum channel rate) while maintaining a high detection error probability at adversaries in the promising network architectures. Numerical results are presented to evaluate our strategy of mode selection and cooperative jamming, and to illustrate performance gains in terms of covert capacity and detection error probability in these two network architectures. Finally, a vision is discussed for our future research in D2D underlaid UAV networks.

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Series: IEEE network
ISSN: 0890-8044
ISSN-E: 1558-156X
ISSN-L: 0890-8044
Volume: 35
Issue: 2
Pages: 104 - 111
Article number: 9360663
DOI: 10.1109/MNET.011.2000100
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the European Union's Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031; by the Academy of Finland 6Genesis project under Grant No. 318927; by the Academy of Finland CSN project under Grant No. 311654; by the NSFC under Grant No. 61962033; by the Anhui Province project under Grant No. 1808085MF165, gxgwfx2019060, KJ2019A0643, 2020LCX020 and gxyq2020056; by the Yunnan Province project under Grant No.2018FH001-010; and by the CHZU project under Grant No. 2020qd16 and zrjz2019011.
EU Grant Number: (857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
311654 (Academy of Finland Funding decision)
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