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《Journal of Computer Research and Development》 2002-09
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LIU Xue-Jun, CHEN Song-Can, and PENG Hong-Jing (Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016)  
Traditional verification of the access to a computer system is single password. The drawback of the password is that it is easily given away. Therefore there are great security threats in the access to information and resource in the computer. In an effort to confront the threats, biometrics (such as fingerprints, keystroke dynamics, and so on) combined with the traditional verification methods may greatly increase the system security. In view of the fact that it is not necessary for the verification of keystroke dynamics to utilize the additional equipment and the realization is relatively cheap, after studying the past research on this issue, the keystroke verification based on support vector machines (SVM) is proposed in terms of SVM's super performance in pattern recognition. Through experiments SVM is compared with BP, RBF, PNN, and LVQ, and the conclusion is that SVM is the best choice in keystroke identification and therefore there is extensive application prospect about keystroke verification.
【Fund】: 国家自然科学基金资助 ( 6 99730 2 1)
【CateGory Index】: TP309.7
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10 LI Zuo_yong~1,XU Ting_ting~1,DING Jing~2 (1.Department of Geoenvironment Science, Chengdu University of Information Technology, Chengdu 610041, China; 2.Institute of Hydroelectric Power, Sichuan University, Chengdu 610065,China);Application of Artificial Neural Network to Optimize Groundwater Quality Monitoring Sites[J];Urban Environment & Urban Ecology;2003-06
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