Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations
Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk, Topcu

TL;DR
This paper proposes a novel periodic transmission strategy using distributed beamforming and artificial noise to secure wireless communication against adversaries with unknown locations, ensuring confidentiality where stationary strategies fail.
Contribution
It introduces a new approach combining semi-definite programming relaxations and random sampling to design secure transmission strategies in unknown adversary scenarios.
Findings
The proposed strategy guarantees security against unknown adversaries.
SDP relaxations are exact under certain conditions.
Numerical results show improved security over stationary strategies.
Abstract
We study the problem of securely communicating a sequence of information bits with a client in the presence of multiple adversaries at unknown locations in the environment. We assume that the client and the adversaries are located in the far-field region, and all possible directions for each adversary can be expressed as a continuous interval of directions. In such a setting, we develop a periodic transmission strategy, i.e., a sequence of joint beamforming gain and artificial noise pairs, that prevents the adversaries from decreasing their uncertainty on the information sequence by eavesdropping on the transmission. We formulate a series of nonconvex semi-infinite optimization problems to synthesize the transmission strategy. We show that the semi-definite program (SDP) relaxations of these nonconvex problems are exact under an efficiently verifiable sufficient condition. We…
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