Classifying World War II era ciphers with machine learning

IF 0.3 4区工程技术 Q4 COMPUTER SCIENCE, THEORY & METHODS

Cryptologia Pub Date : 2024-03-14 DOI:10.1080/01611194.2024.2304888

Brooke Dalton, Mark Stamp

引用次数: 0

Abstract

We determine the accuracy with which machine learning and deep learning techniques can classify selected World War II era ciphers when only ciphertext is available. The specific ciphers considered ...

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利用机器学习对二战时期的密码进行分类

我们确定了在只有密码文本的情况下，机器学习和深度学习技术对选定的二战时期密码进行分类的准确性。所考虑的特定密码...

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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来源期刊

Cryptologia 工程技术-计算机：理论方法

自引率

33.30%

发文量

审稿时长

24 months

期刊介绍： Cryptologia is the only scholarly journal in the world dealing with the history, the technology, and the effect of the most important form of intelligence in the world today - communications intelligence. It fosters the study of all aspects of cryptology -- technical as well as historical and cultural. The journal"s articles have broken many new paths in intelligence history. They have told for the first time how a special agency prepared information from codebreaking for President Roosevelt, have described the ciphers of Lewis Carroll, revealed details of Hermann Goering"s wiretapping agency, published memoirs - written for it -- of some World War II American codebreakers, disclosed how American codebreaking affected the structure of the United Nations.