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On the Continuity of the Secrecy Capacity of Compound and Arbitrarily Varying Wiretap Channels

机译:复合和任意变化的窃听通道的保密容量的连续性

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The wiretap channel models secure communication between two users in the presence of an eavesdropper who must be kept ignorant of transmitted messages. The performance of such a system is usually characterized by its secrecy capacity which determines the maximum transmission rate of secure communication. In this paper, the issue of whether or not the secrecy capacity is a continuous function of the system parameters is examined. In particular, this is done for channel uncertainty modeled via compound channels and arbitrarily varying channels, in which the legitimate users know only that the true channel realization is from a prespecified uncertainty set. In the former model, this realization remains constant for the entire duration of transmission, while in the latter the realization varies from channel use to channel use in an unknown and arbitrary manner. These models not only capture the case of channel uncertainty, but are also suitable for modeling scenarios in which a malicious adversary jams or otherwise influences the legitimate transmission. The secrecy capacity of the compound wiretap channel is shown to be robust in the sense that it is a continuous function of the uncertainty set. Thus, small variations in the uncertainty set lead to small variations in secrecy capacity. On the other hand, the deterministic secrecy capacity of the arbitrarily varying wiretap channel is shown to be discontinuous in the uncertainty set meaning that small variations can lead to dramatic losses in capacity.
机译:窃听通道模型在存在窃听者的情况下保证了两个用户之间的通信安全,窃听者必须对所传输的消息保持不知情。这种系统的性能通常以其保密能力为特征,该保密能力决定了安全通信的最大传输速率。在本文中,研究了保密能力是否是系统参数的连续函数的问题。特别地,对于通过复合信道和任意变化的信道建模的信道不确定性,可以做到这一点,其中合法用户仅知道真实的信道实现来自预先确定的不确定性集。在前一种模型中,此实现在整个传输持续时间内保持不变,而在后一种模型中,实现以未知且任意的方式因信道使用而异。这些模型不仅捕获了信道不确定性的情况,而且还适合于建模恶意对手阻塞或以其他方式影响合法传输的方案。从这个意义上讲,复合窃听通道的保密能力很强,因为它是不确定性集的连续函数。因此,不确定性集的小变化导致保密能力的小变化。另一方面,在不确定性集中,任意变化的窃听通道的确定性保密容量显示为不连续的,这意味着较小的变化会导致容量的巨大损失。

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