Securing Multi-User Uplink Communications Against Mobile Aerial Eavesdropper via Sensing

Liu, P; Fei, Z; Wang, X; Zhang, JA; Zheng, Z; Zhang, Q

Securing Multi-User Uplink Communications Against Mobile Aerial Eavesdropper via Sensing

Liu, P Fei, Z Wang, X Zhang, JA Zheng, Z Zhang, Q

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2023, 72, (7), pp. 9608-9613
Issue Date:: 2023-07-01

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Field	Value	Language
dc.contributor.author	Liu, P
dc.contributor.author	Fei, Z
dc.contributor.author	Wang, X
dc.contributor.author	Zhang, JA
dc.contributor.author	Zheng, Z
dc.contributor.author	Zhang, Q
dc.date.accessioned	2024-03-27T02:28:09Z
dc.date.available	2024-03-27T02:28:09Z
dc.date.issued	2023-07-01
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2023, 72, (7), pp. 9608-9613
dc.identifier.issn	0018-9545
dc.identifier.issn	1939-9359
dc.identifier.uri	http://hdl.handle.net/10453/177233
dc.description.abstract	In this paper, we propose a secure multi-user uplink communicaion scheme against a mobile aerial eavesdropper (AE) in Integrated Sensing and Communication (ISAC) systems, where the ISAC base station transmits radar signals to track and jam the AE. For tracking mobile AE, we adopt an extended Kalman filter technique to predict AE's motion state. Based on the tracking information we formulate an optimization problem to jointly design radar signal and receiver beamformer for improving the secrecy performance. To deal with the non-convex constraints and the coupled variables, we propose an alternating optimization based algorithm via iteratively solving a Fractional Programming (FP) problem and a Semidefinite Program (SDP) problem. Numerical results show that the proposed algorithm can achieve higher secrecy capacity and better fairness, compared to the state-of-the-art techniques.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Vehicular Technology
dc.relation.isbasedon	10.1109/TVT.2023.3248063
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Automobile Design & Engineering
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Securing Multi-User Uplink Communications Against Mobile Aerial Eavesdropper via Sensing
dc.type	Journal Article
utslib.citation.volume	72
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-03-27T02:28:08Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	72
utslib.citation.issue	7

Abstract:

In this paper, we propose a secure multi-user uplink communicaion scheme against a mobile aerial eavesdropper (AE) in Integrated Sensing and Communication (ISAC) systems, where the ISAC base station transmits radar signals to track and jam the AE. For tracking mobile AE, we adopt an extended Kalman filter technique to predict AE's motion state. Based on the tracking information we formulate an optimization problem to jointly design radar signal and receiver beamformer for improving the secrecy performance. To deal with the non-convex constraints and the coupled variables, we propose an alternating optimization based algorithm via iteratively solving a Fractional Programming (FP) problem and a Semidefinite Program (SDP) problem. Numerical results show that the proposed algorithm can achieve higher secrecy capacity and better fairness, compared to the state-of-the-art techniques.

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http://hdl.handle.net/10453/177233