TY - GEN
T1 - Sensing-assisted Physical Layer Security (Invited Paper)
AU - Su, Nanchi
AU - Liu, Fan
AU - Masouros, Christos
N1 - Publisher Copyright:
© VDE VERLAG GMBH · Berlin · Offenbach.
PY - 2023
Y1 - 2023
N2 - Integrated Sensing and Communication (ISAC) is intuitively expected to enhance energy and spectrum efficiencies, while it is further promoted to get a deeper integration where the two functionalities are co-designed for mutual benefits. Concerning the communication data security risks resulting from the unification of these two operations, we address the sensingaided physical layer security (PLS) for ISAC systems in this paper. In our design, the ISAC base station (BS) sends information to communication users and detects targets simultaneously, where targets are reckoned as potential eavesdroppers (Eves). The BS firstly emits an omnidirectional waveform to search for potential Eves' angles adopting the combined Capon and approximate maximum likelihood (CAML) technique. We then formulate a weighted optimization problem for both the secrecy maximization and the Cramér-Rao bound (CRB) minimization, with the wide main beam design covering all possible directions of Eves. With the estimation accuracy improving iteratively, the secrecy rate benefits from the sensing functionality, that is, accordingly gets higher. Finally, the simulation results validate the effectiveness of the proposed method.
AB - Integrated Sensing and Communication (ISAC) is intuitively expected to enhance energy and spectrum efficiencies, while it is further promoted to get a deeper integration where the two functionalities are co-designed for mutual benefits. Concerning the communication data security risks resulting from the unification of these two operations, we address the sensingaided physical layer security (PLS) for ISAC systems in this paper. In our design, the ISAC base station (BS) sends information to communication users and detects targets simultaneously, where targets are reckoned as potential eavesdroppers (Eves). The BS firstly emits an omnidirectional waveform to search for potential Eves' angles adopting the combined Capon and approximate maximum likelihood (CAML) technique. We then formulate a weighted optimization problem for both the secrecy maximization and the Cramér-Rao bound (CRB) minimization, with the wide main beam design covering all possible directions of Eves. With the estimation accuracy improving iteratively, the secrecy rate benefits from the sensing functionality, that is, accordingly gets higher. Finally, the simulation results validate the effectiveness of the proposed method.
KW - Cramér-Rao Bound
KW - artificial noise
KW - integrated sensing and communication systems
KW - physical layer security
KW - secrecy rate
UR - https://www.scopus.com/pages/publications/85166985381
M3 - 会议稿件
AN - SCOPUS:85166985381
T3 - WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
SP - 386
EP - 391
BT - WSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
PB - VDE Verlag GmbH
T2 - 26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on Systems, Communications, and Coding, SCC 2023
Y2 - 27 February 2023 through 3 March 2023
ER -