Su, N;
Liu, F;
Masouros, C;
(2024)
Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security.
IEEE Transactions on Wireless Communications
, 23
(4)
pp. 3162-3174.
10.1109/TWC.2023.3306029.
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Abstract
In this paper, we investigate the sensing-aided physical layer security (PLS) towards Integrated Sensing and Communication (ISAC) systems. A well-known limitation of PLS is the need to have information about potential eavesdroppers (Eves). The sensing functionality of ISAC offers an enabling role here, by estimating the directions of potential Eves to inform PLS. In our approach, the ISAC base station (BS) firstly emits an omnidirectional waveform to search for potential Eves’ directions by employing the combined Capon and approximate maximum likelihood (CAML) technique. Using the resulting information about potential Eves, we formulate secrecy rate expressions, which is a function of the Eves’ estimation accuracy. We then formulate a weighted optimization problem to simultaneously maximize the secrecy rate with the aid of the artificial noise (AN), and minimize the Cramér-Rao Bound (CRB) of targets’/Eves’ estimation. By taking the possible estimation errors into account, we enforce a beampattern constraint with a wide main beam covering all possible directions of Eves. This implicates that security needs to be enforced in all these directions. By improving estimation accuracy, the sensing and security functionalities provide mutual benefits, resulting in improvement of the mutual performances with every iteration of the optimization, until convergence. Our results avail of these mutual benefits and reveal the usefulness of sensing as an enabler for practical PLS.
Type: | Article |
---|---|
Title: | Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/TWC.2023.3306029 |
Publisher version: | https://doi.org/10.1109/TWC.2023.3306029 |
Language: | English |
Additional information: | Copyright © 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
Keywords: | Integrated Sensing and Communication system, sensing aided physical layer security, Cramer-Rao Bound, secrecy rate, artificial noise |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10176252 |
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