IEEE International Symposium on Information Theory (ISIT)
Active Covert Sensing
Mehrdad Tahmasbi, Matthieu R. Bloch
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.