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arXiv 2404.09288cs.CR
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使用硬件熵源的新型密码

New Class of Ciphers Using Hardware Entropy Source

RANDAEMON sp. z o.o(RANDAEMON有限责任公司)

Jan J. Tatarkiewicz, Wieslaw B. Kuzmicz

AI总结:

介绍使用硬件熵源的新型密码BARN,通过TRNG产生随机比特流,依特定规则将消息比特嵌入其中,不依赖算术函数,提出计算随机密钥的有效方法,估计暴力攻击所需测试排列数并探讨实际应用。

摘要:

我们提出了一种新颖且计算简单的方法,通过使用密钥将任何消息隐藏在随机比特流中,该方法称为随机数掩埋(BARN)。由基于硬件的真随机数发生器(TRNG)提取物理过程的熵来产生随机比特流。将消息比特放入随机比特流的过程由后续插入之间跳过的随机比特数控制。BARN步骤对应的数字集也源自TRNG提供的随机数,因此BARN密码不依赖于任何算术函数。我们提出了一种从给定数量的随机比特计算随机密钥的有效方法,并估计了针对不同密钥长度对新密码进行暴力攻击时需要测试的排列数。还讨论了这类新型对称密码的一些实际应用。

英文摘要:

We present a novel, computationally simple method of hiding any message in the stream of random bits by using a secret key. The method is called Bury Among Random Numbers (BARN). A stream of random bits is produced by extracting the entropy of a physical process in a hardware-based true random number generator (TRNG). The process of placing bits of a message into the stream of random bits is governed by the number of random bits skipped between subsequent insertions. The set of numbers that correspond to the steps of BARN is derived from a random number also provided by TRNG. Hence BARN cipher does not depend on any arithmetic function. We propose an effective method of computing random keys from a given number of random bits. We estimate the number of permutations that need to be tested during a brute-force attack on the new cipher for various key lengths. Some practical applications for the new class of symmetrical ciphers are discussed.

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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