THE AUTOMATED CRYPTANALYSIS OF SUBSTITUTION CIPHERS

Abstract
Expert systems programmed in artificial intelligence languages can break simple substitution ciphers by capturing and employing knowledge about the relative frequencies of single letters and certain combinations of letters in certain positions. These techniques can be extended to fixed-key polyalphabetic ciphers after using regression analysis to separate out the segments of text enciphered in each component alphabet.

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