Technical Program

Paper Detail

Paper IDP.1.6
Paper Title Active Covert Sensing
Authors Mehrdad Tahmasbi, Matthieu Bloch, Georgia Institute of Technology, United States
Session P.1: Covert Communications
Presentation Lecture
Track Cryptography, Security and Privacy
Manuscript  Click here to download the manuscript
Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract We formalize the problem of active covert sensing, in which a legitimate user wants to not only sense an unknown parameter but also remain undetectable from an adversary by actively controlling the actions that generate observations. We characterize the optimal achievable error exponent when the actions of the legitimate user do not depend on the past observations. When the actions are allowed to depend on the past observations, we provide an example showing the benefits of adaptivity.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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