arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.13411cs.ITcs.DMmath.IT
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算法信息论中秘密密钥协商的通信复杂度

Communication Complexity of the Secret Key Agreement in Algorithmic Information Theory

Emirhan Gürpınar, Andrei Romashchenko

AI总结:

本文研究算法信息论中秘密密钥协商的最坏情况通信复杂度,揭示其随密钥长度变化的不同行为,并利用图谱、扩展器混合引理和信息论技术完成证明。

摘要:

众所周知,在Kolmogorov复杂度意义下,任意字符串对x和y的互信息,等于在双方分别以x和y作为输入的假设下,两方通过在公共信道上交互的概率化协议所能建立的最长共享秘密密钥的长度。我们针对双方可以使用私有随机比特源的设定,确定了该问题的最坏情况通信复杂度。我们证明,对于某些x、y,即使双方必须协商的秘密密钥长度远小于x与y之间的互信息,秘密密钥协商的通信复杂度也不会降低。另一方面,我们讨论了若干x、y的例子,在这些例子中,协议的通信复杂度会随着所得秘密密钥长度的增加而逐渐下降。主要结果的证明使用了适当图的谱性质和expander mixing lemma(扩展器混合引理),以及信息论技术。

英文摘要:

It is known that the mutual information, in the sense of Kolmogorov complexity, of any pair of strings x and y is equal to the length of the longest shared secret key that two parties can establish via a probabilistic protocol with interaction on a public channel, assuming that the parties hold as their inputs x and y respectively. We determine the worst-case communication complexity of this problem for the setting where the parties can use private sources of random bits. We show that for some x, y the communication complexity of the secret key agreement does not decrease even if the parties have to agree on a secret key whose size is much smaller than the mutual information between x and y. On the other hand, we discuss examples of x, y such that the communication complexity of the protocol declines gradually with the size of the derived secret key. The proof of the main result uses spectral properties of appropriate graphs and the expander mixing lemma, as well as information theoretic techniques.

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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