Research on Password Dictionary Generation Based on Association Rule Mining

CHEN Jun-shan; LIU Jing-ju; LI Zhen-han

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Research on Password Dictionary Generation Based on Association Rule Mining

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- Research on Password Dictionary Generation Based on Association Rule Mining
- Vol. 35, Issue 12, Pages: 110-114(2018)
- 作者机构：
  
  国防科技大学,安徽,合肥,230031
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
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陈君山, 刘京菊, 李振汉. 基于关联规则挖掘的口令字典生成技术[J]. 微电子学与计算机, 2018, 35(12): 110-114.

CHEN Jun-shan, LIU Jing-ju, LI Zhen-han. Research on Password Dictionary Generation Based on Association Rule Mining[J]. 2018, 35(12): 110-114.
陈君山, 刘京菊, 李振汉. 基于关联规则挖掘的口令字典生成技术[J]. 微电子学与计算机, 2018, 35(12): 110-114. DOI：

CHEN Jun-shan, LIU Jing-ju, LI Zhen-han. Research on Password Dictionary Generation Based on Association Rule Mining[J]. 2018, 35(12): 110-114. DOI：

摘要

为提高口令破解效率

在获取个人信息后构造针对性强的口令破解字典

采用关联规则挖掘的方法获取口令设置规则.针对网络上搜集获取的具有详细用户信息的数据进行拆分

使用Apriori算法挖掘拆分结果得到用户的口令设置规则

根据挖掘得到的规则针对测试集用户信息生成相应的口令字典

测试结果表明了该方法的有效性.

Abstract

To improve password cracking efficiency

construct targeted password cracking dictionary when getting personal information

the method of association rule mining is adopted to obtain the password setting rules. Split the data collected on the network with detailed user information

use the apriori algorithm to mini the split result to get the user password setting rules. Generate the corresponding password dictionary for the test set user information according to the rules obtained by mining

the test results show the effectiveness of the method.

关键词

Keywords

references

刘玮文.基于语义的概率字典破解技术研究[D].武汉: 华中科技大学, 2013.

Weir M, Aggarwal S, De Medeiros B, et al. Password cracking using probabilistic context-free grammars[C].Security and Privacy, 2009 30th IEEE Symposium on. IEEE, 2009(5): 391-405.

徐华.数据挖掘:方法与应用[M].北京:清华大学出版社, 2014.

毛国君, 段立娟, 王实, 等.数据挖掘原理与算法(第二版)[M].北京:清华大学出版社, 2007.

郭奕东, 邱卫东, 刘伯仲.基于属性拆分与数据挖掘的真实口令分析[J].计算机工程, 2014, 40(7):254-257. DOI: 254

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