Automated Cryptanalysis

O. Grošek, Pavol Zajac
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引用次数: 4

Abstract

Classical ciphers are used to encrypt plaintext messages written in a natural language in such a way that they are readable for sender or intended recipient only. Many classical ciphers can be broken by brute-force search through the key-space. One of the pertinent problems arising in automated cryptanalysis is the plaintext recognition. A computer should be able to decide which of many possible decrypts are meaningful. This can be accomplished by means of a text scoring function, based, e.g. on n-grams or other text statistics. A scoring function can also be used in conjunction with AI methods to speedup cryptanalysis.
自动密码分析
经典密码用于加密以自然语言编写的明文消息,使其仅供发送方或预期接收方可读。通过对密钥空间的暴力搜索可以破解许多经典密码。在自动密码分析中出现的一个相关问题是明文识别。计算机应该能够从许多可能的解密中判断出哪些是有意义的。这可以通过基于n-gram或其他文本统计的文本评分功能来实现。评分功能也可以与人工智能方法结合使用,以加快密码分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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