Secure Integrated Sensing and Communication Systems with the Assistance of Sensing Functionality

Nanchi Su1; Fan Liu2; Christos Masouros1

10.23919/EUSIPCO58844.2023.10289830

2023

2219-5491

979-8-3503-2811-0

2023 31st European Signal Processing Conference (EUSIPCO)

690-694

4-8 Sept. 2023

Helsinki, Finland

With the expectation of deeper integration between sensing and communication functionalities, we investigate the sensing-assisted approach to ensure the security of confidential information in Integrated Sensing and Communication (ISAC) systems. In physical layer security (PLS) studies, the acquisition of channel state information (CSI) is considered to be the common limitation. However, in ISAC systems, the sensing functionality is able to provide the channel information towards each target, aka., potential eavesdropper (Eve), by estimating the directions. In our design, the dual-functional base station (BS) emits an omnidirectional waveform, aiming to search for targets and obtain the angle estimations by employing the combined Capon and approximate maximum likelihood (CAML) technique. Afterwards, we formulate a weighted optimization problem with the help of artificial noise (AN) to jointly optimize the secrecy rate and the Cramér-Rae Bound (CRB), while generating a wide main-beam beampattern, covering all possible angles of the detected targets. 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. Finally, the numerical results reveal the feasibility of the proposed algorithm and prove that it enables the multi-target scenario for secure ISAC systems.

Integrated Sensing and Communication systems physical layer security Cramér-Rao Bound

其他

EI

20234815128906

Channel state information ; Cramer-Rao bounds ; Maximum likelihood estimation ; Network layers

Computer Software, Data Handling and Applications:723 ; Numerical Methods:921.6 ; Statistical Methods:922 ; Mathematical Statistics:922.2

IEEE

1.Department of Electronic and Electrical Engineering, University College London, London, UK
2.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

Nanchi Su,Fan Liu,Christos Masouros. Secure Integrated Sensing and Communication Systems with the Assistance of Sensing Functionality[C],2023:690-694.