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Learning an Adversarys Actions for Secret Communication

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 نشر من قبل Mehrdad Tahmasbi
 تاريخ النشر 2018
  مجال البحث الهندسة المعلوماتية
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Secure communication over a wiretap channel is investigated, in which an active adversary modifies the state of the channel and the legitimate transmitter has the opportunity to sense and learn the adversarys actions. The adversary has the ability to switch the channel state and observe the corresponding output at every channel use while the encoder has causal access to observations that depend on the adversarys actions. A joint learning/transmission scheme is developed in which the legitimate users learn and adapt to the adversarys actions. For some channel models, it is shown that the achievable rates, defined precisely for the problem, are arbitrarily close to those obtained with hindsight, had the transmitter known the actions ahead of time. This initial study suggests that there is much to exploit and gain in physical-layer security by learning the adversary, e.g., monitoring the environment.



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