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Learning an Adversary’s Actions for Secret Communication
IEEE Transactions on Information Theory ( IF 2.5 ) Pub Date : 2020-03-01 , DOI: 10.1109/tit.2019.2940960
Mehrdad Tahmasbi , Matthieu R. Bloch , Aylin Yener

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 adversary’s 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 adversary’s actions. A joint learning/transmission scheme is developed in which the legitimate users learn and adapt to the adversary’s 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.

中文翻译:

了解对手的秘密通信行为

调查了通过窃听通道的安全通信,其中活跃的对手修改了通道的状态,而合法的发射机有机会感知和了解对手的行为。对手有能力切换通道状态并在每个通道使用时观察相应的输出,而编码器可以因果访问依赖于对手动作的观察结果。开发了联合学习/传输方案,其中合法用户学习并适应对手的行为。对于某些信道模型,如果发射机提前知道动作,则表明为问题精确定义的可实现速率与事后获得的速率任意接近。
更新日期:2020-03-01
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