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Cryptographic Algorithms Analysis Technology Research Based on Functions Signature Recognition

机译:基于功能签名识别的密码算法分析技术研究

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At present, the research on software reverse engineering pays more attention to cryptographic algorithms recognition and analysis. Malwares are becoming increasingly stealthy, more and more malwares are using cryptographic algorithms to protect themselves from being analyzed. There are no mature theory and tools to analyze cryptographic algorithms from the executable files effectively and exactly. In order to solve the problem efficiently, this paper discusses functions signature recognition technology, creating the cryptographic algorithms library including more than 3000 signature characteristics, and explores a way to recognize cryptographic algorithms based on functions signature recognition. Finally, the experiment results indicate the method is effective and feasible.
机译:目前,对软件逆向工程的研究更加注重密码算法的识别和分析。恶意软件正变得越来越隐蔽,越来越多的恶意软件正在使用加密算法来保护自己免受分析。没有有效和准确地从可执行文件中分析密码算法的成熟理论和工具。为了有效解决该问题,本文讨论了功能签名识别技术,创建了包含3000多个签名特征的密码算法库,并探索了一种基于功能签名识别的密码算法识别方法。最后,实验结果表明该方法是有效可行的。

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