Improved Keystroke Authentication Accuracy Based on Statistics and Weight

查看全文 作　　者：Li [1]Jian;Guo [1]Xiaojing;Li [1]Meiyun;Li [1]Ruifan

机构地区：[1]School of Computer,Beijing University of Posts and Telecommunications,Beijing 100876,P.R.China

出　　处：《China Communications》索引2012年第9卷第7期,共6页

基　　金：This paper has been performed in the Project 'Key Technology Research of Eavesdropping Detection in the Quantum Security Communication' supported by the National Natural Science Foundation of China 摘　　要：In order to improve the recognition accuracy of keystroke authentication, a methodology based on feature extraction of keystroke sequence is presented in this paper. Firstly, the data of the users' keystroke feature information that has too much deviation with the mean deviation is filtered out. Secondly, the probability of each input key is calculated and 10 values which do not have the best features are selected. Thirdly, they are weighed and a score evaluating the extent to which the user could be authenticated successfully is calculated. The benefit of using a third-party data set is more objective and comparable. At last, the experimental result shows that the detector in this paper is more accurate than the other three. 关键词：识别精度认证按键基础重量统计平均偏差特征提取

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Improved Keystroke Authentication Accuracy Based on Statistics and Weight

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