基于基因库的密码结构字典生成算法

Liping Li, Qinglei Zhou, Bin Li, Xueming Si
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引用次数: 0

摘要

身份认证是保证信息系统安全的第一道防线,密码是目前使用最广泛的认证方式。选择有效的密码结构是防止密码字典攻击等密码攻击的有效手段。本文讨论了68386069个真实明文密码,并统计了它们的各种特性,总结了几种生成某些样式的高利用率密码的规则。基于这些统计特征和规律,生成高概率密码结构基因库。有了它们,它就形成了一个字典来生成候选密码。这样可以提高密码恢复的效率。我们利用真实的密码测试数据进行了大量的实验,实验结果与各大网站提供的字典相比,高概率密码结构字典的命中率提高了30%左右。同时,该字典可以节省大约三分之一的运行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Algorithm to Generate Password Structure Dictionary Based on Gene Bank
Identity authentication is the first line of defense to ensure the security of information systems, and passwords are the most widely used authentication method. Choosing a valid password structure is an effective way to prevent password attacks, such as password dictionary attack. This article talked 68386069 real plaintext passwords with statistical their various features, summarized several rules for generating highly utilized passwords in certain styles. Based on these statistical features and rules, it generated high-probability password structure gene banks. With them, it formulates a dictionary to generate the candidate passwords. Thereby, this can enhance the efficiency of password recovery. We conducted extensive experiments by the real password test data, and the experimental results, compared with the dictionary provided by major websites, show that the dictionary of high probability password structure hit rate increased by about 30%. At the same time, this dictionary can save about one-third of the running time.
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