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Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing

Wei, Zhuangkun; Wang, Liang; Guo, Weisi

Authors

Liang Wang

Weisi Guo



Abstract

Reconfigurable intelligent surfaces (RIS) have been shown to improve the secret key rate (SKR) for physical layer secret key generation (PL-SKG), by using the programmable phase shifts to increase reciprocal channel entropy. Most current studies consider the role of RIS on passive eavesdroppers (Eves) and overlook active attackers, especially the pilot spoofing attacks (PSA). For PSA in PL-SKG setups, this is implemented by Eve sending an amplified pilot sequence simultaneously with legitimate user Alice. With the increase of the spoofing amplifying factor, the channel probing results at Bob and Eve become similar, thereby enabling Eve to generate shared secret key with Bob. In this work, we analyze how RIS can positively or negatively affect the PL-SKG under pilot spoofing. To do so, we theoretically express the legitimate and spoofing SKRs in terms of the RIS phase shifts. Leveraging this, the closed-form theoretical upper bounds of both legitimate and spoofing SKRs are deduced, which lead to two further findings. First, the legitimate SKR upper-bound does not vary with RIS phase shift vector, but reduces drastically with the increase of the spoofing amplifying factor. This suggests the limited effect of RIS against PL-SKG spoofing, since the legitimate SKR has a hard limit, which cannot be surpassed by adjusting RIS phase and reflecting power, but can even be 0 with properly assigned spoofing amplifying factor. Second, the spoofing SKR upper-bound shows a large gap from the non-optimized SKR, which indicates a potential for RIS phase optimization.

Citation

Wei, Z., Wang, L., & Guo, W. (2022, September). Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom

Presentation Conference Type Conference Paper (published)
Conference Name 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
Start Date Sep 26, 2022
End Date Sep 29, 2022
Online Publication Date Jan 18, 2023
Publication Date 2022-09
Deposit Date Feb 12, 2025
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 1-6
Series ISSN 2577-2465
Book Title 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
DOI https://doi.org/10.1109/vtc2022-fall57202.2022.10012819
Public URL https://durham-repository.worktribe.com/output/3479384