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Secure Robust Hash Functions and Their Applications in Non-Interactive Communications

机译:安全健壮的哈希函数及其在非交互式通信中的应用

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摘要

A robust hash function allows different parties to extract a consistent key from a common fuzzy source, e.g., an image gone through noisy channels, which can then be used to establish a cryptographic session key among the parties without the need for interactions. These functions are useful in various communication scenarios, where the security notions are different. The authors study these different security notions in this paper and focus on forgery attacks, where the objective of the attack is to compute the extracted key (hash value) of a given message. This paper will examine information-theoretical security against forgery under chosen message attacks. The authors prove that it is not possible due to the entropy of the hash value of a given message can be reduced arbitrarily when sufficient message/hash pairs have been observed. In this regard, the authors give a computationally secure scheme, where it is computationally infeasible to compute the hash value even when its entropy may not be high.
机译:强大的散列函数允许不同的参与者从常见的模糊源(例如经过噪声通道的图像)中提取一致的密钥,然后可以将其用于在参与者之间建立加密会话密钥,而无需进行交互。这些功能在安全性概念不同的各种通信场景中很有用。作者在本文中研究了这些不同的安全概念,并专注于伪造攻击,其中攻击的目的是计算给定消息的提取密钥(哈希值)。本文将研究在选择的消息攻击下防止伪造的信息理论安全性。作者证明,由于已观察到足够的消息/哈希对,因此可以任意减少给定消息的哈希值的熵,因此这是不可能的。在这方面,作者提出了一种计算安全的方案,即使哈希的熵值可能不高,在计算上也不可行。

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