基于关联规则挖掘的口令字典生成技术  

Research on Password Dictionary Generation Based on Association Rule Mining

作　　者：陈君山 刘京菊 李振汉 CHEN Jun-shan;LIU J ing-ju;LI Zhen-han(National University of DefenseTechnology,Hefei 230031,China)

机构地区：[1]国防科技大学,安徽合肥230031

出　　处：《微电子学与计算机》2018年第12期110-114,共5页Microelectronics & Computer

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.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：口令破解 关联规则 APRIORI算法 用户数据 属性拆分 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]