Behavior authentication of Web users based on machine learning
According to the security problem of Web user information,the user behavior was analyzed and authenticated by the method of machine learning.First of all,through the principal component analysis to reduce the dimension of the original data set,then use the SVM algorithm to allow the computer to lear...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2018-01-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018011 |
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| _version_ | 1841530121944563712 |
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| author | Zenan WU Liqin TIAN Zhigang WANG |
| author_facet | Zenan WU Liqin TIAN Zhigang WANG |
| author_sort | Zenan WU |
| collection | DOAJ |
| description | According to the security problem of Web user information,the user behavior was analyzed and authenticated by the method of machine learning.First of all,through the principal component analysis to reduce the dimension of the original data set,then use the SVM algorithm to allow the computer to learn the history of user behavior evidence,to get a model to identify the user's identity.The practical application and theoretical analysis show that the model in user behavior identification authentication,can be more accurate and efficient classification of dangerous users and trusted users,analysis lay a solid theoretical and practical basis for the high performance user behavior such as electronic commerce,network finance and other key of Internet applications. |
| format | Article |
| id | doaj-art-3e11895473e64f65b2e12ba89da27c01 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-3e11895473e64f65b2e12ba89da27c012025-01-15T03:12:30ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-01-014455159552593Behavior authentication of Web users based on machine learningZenan WULiqin TIANZhigang WANGAccording to the security problem of Web user information,the user behavior was analyzed and authenticated by the method of machine learning.First of all,through the principal component analysis to reduce the dimension of the original data set,then use the SVM algorithm to allow the computer to learn the history of user behavior evidence,to get a model to identify the user's identity.The practical application and theoretical analysis show that the model in user behavior identification authentication,can be more accurate and efficient classification of dangerous users and trusted users,analysis lay a solid theoretical and practical basis for the high performance user behavior such as electronic commerce,network finance and other key of Internet applications.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018011information securityuser behavior authenticationsupport vector machineprincipal component analysis |
| spellingShingle | Zenan WU Liqin TIAN Zhigang WANG Behavior authentication of Web users based on machine learning 网络与信息安全学报 information security user behavior authentication support vector machine principal component analysis |
| title | Behavior authentication of Web users based on machine learning |
| title_full | Behavior authentication of Web users based on machine learning |
| title_fullStr | Behavior authentication of Web users based on machine learning |
| title_full_unstemmed | Behavior authentication of Web users based on machine learning |
| title_short | Behavior authentication of Web users based on machine learning |
| title_sort | behavior authentication of web users based on machine learning |
| topic | information security user behavior authentication support vector machine principal component analysis |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018011 |
| work_keys_str_mv | AT zenanwu behaviorauthenticationofwebusersbasedonmachinelearning AT liqintian behaviorauthenticationofwebusersbasedonmachinelearning AT zhigangwang behaviorauthenticationofwebusersbasedonmachinelearning |