arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1607.07040cs.ITcs.CRmath.IT
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使用未编码方案的联合信源信道保密:面向安全信源广播

Joint Source-Channel Secrecy Using Uncoded Schemes: Towards Secure Source Broadcast

Lei Yu, Houqiang Li, Weiping Li

摘要:

研究了香农密码广播系统的信源信道联合保密问题。我们假设应用了列表保密,即,窃听器被允许产生重构序列的列表,并且通过整个列表上的最小失真来测量保密性。对于离散通信的情况下,我们提出了一个基于置换的未编码的计划,级联一个随机置换与符号的符号映射。利用这个方案,我们得到了秘密密钥率,列表率,窃听失真,合法用户的失真的容许区域的内界。对于相反的部分,我们很容易得到一个外界的容许区域从现有的结果。通过比较内外界,证明了该方案在一定条件下是最优的。此外,我们将所提出的方案扩展到标量和矢量高斯通信场景,并表征相应的性能。对于这两种情况下,我们还提出了另一种未编码的方案,正交变换为基础的计划,它实现了相同的性能,置换为基础的计划。有趣的是,通过将随机置换或随机正交变换引入到传统的未编码方案中,所提出的未编码方案一方面提供了一定程度的保密性,另一方面,在合法用户的失真方面不会失去任何性能。

英文摘要:

This paper investigates a joint source-channel secrecy problem for the Shannon cipher broadcast system. We suppose list secrecy is applied, i.e., a wiretapper is allowed to produce a list of reconstruction sequences and the secrecy is measured by the minimum distortion over the entire list. For discrete communication cases, we propose a permutation-based uncoded scheme, which cascades a random permutation with a symbol-by-symbol mapping. Using this scheme, we derive an inner bound for the admissible region of secret key rate, list rate, wiretapper distortion, and distortions of legitimate users. For the converse part, we easily obtain an outer bound for the admissible region from an existing result. Comparing the outer bound with the inner bound shows that the proposed scheme is optimal under certain conditions. Besides, we extend the proposed scheme to the scalar and vector Gaussian communication scenarios, and characterize the corresponding performance as well. For these two cases, we also propose another uncoded scheme, orthogonal-transform-based scheme, which achieves the same performance as the permutation-based scheme. Interestingly, by introducing the random permutation or the random orthogonal transform into the traditional uncoded scheme, the proposed uncoded schemes, on one hand, provide a certain level of secrecy, and on the other hand, do not lose any performance in terms of the distortions for legitimate users.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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