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作 者:郭亚军[1] 张蕾 GUO Yajun;ZHANG Lei(School of Computer,Central China Normal University,Wuhan 430079,China)
机构地区:[1]华中师范大学计算机学院,湖北武汉430079
出 处:《徐州工程学院学报(自然科学版)》2020年第3期11-24,共14页Journal of Xuzhou Institute of Technology(Natural Sciences Edition)
基 金:国家自然科学基金项目(61772224);中央高校基本科研业务费资助项目(CCNU19ZN008)。
摘 要:为了鼓励用户选择更强的安卓图形口令,设计了一个用户模式驱动的安卓图形口令强度计;在视觉特征的基础上,添加了常用特殊字符形状和常用三元组子模式2个特征,共同计算口令的强度得分;同时,进行了在线调查,收集了102个用户创建的安卓图形口令,评估强度计的有效性;通过与其他强度计方法进行对比,建立了马尔可夫模型并度量了部分猜测熵指标.研究结果表明在强度计的帮助下用户可以创建安全性更强的口令.该强度计有效地增强了安卓图形解锁模式的安全性,并且用户创建的口令特征也发生了明显的变化.An Android graphical password strength meter was designed in this paper to encourage users to choose stronger passwords.Based on the visual characteristics,two features of common special character shapes and common triples sub-modes were added to evaluate the strength score of the password.At the same time,an online survey was conducted to collect the Android graphical passwords created by 102 users to evaluate the effectiveness of the strength meter.By comparing with other strength meter methods,a Markov model was established and partial guessing entropy index was measured.The results show that users can create stronger passwords with the support of strength meter which effectively enhances the security of the Android graphical unlock pattern.The password features created by users have also changed significantly.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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