Machine learning algorithm for intelligent detection of WebShell
WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learn...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-04-01
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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.2017.00126 |
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| _version_ | 1841530248712159232 |
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| author | Hua DAI Jing LI Xin-dai LU Xin SUN |
| author_facet | Hua DAI Jing LI Xin-dai LU Xin SUN |
| author_sort | Hua DAI |
| collection | DOAJ |
| description | WebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell. |
| format | Article |
| id | doaj-art-d34cbcb7253a4ed08eb2f3b90a38d512 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-04-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-d34cbcb7253a4ed08eb2f3b90a38d5122025-01-15T03:05:42ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-04-013515759550325Machine learning algorithm for intelligent detection of WebShellHua DAIJing LIXin-dai LUXin SUNWebShell is a common tool for network intrusions,which has the characteristics of great harm and good concealment.The current detection method is relatively simple,and easy to be bypassed,so it is difficult to deal with complex and flexible WebShell.To solve these problems,a supervised machine learning algorithm was put forward to detect WebShell intelligently.By learning the features of existing WebShell and non-existing WebShell pages,the algorithm can make prediction of the unknown pages,and the flexibility and adaptability were both very good.Compared with the traditional WebShell detection methods,the experiment proves that the algorithm has higher detection efficiency and accuracy,and at the same time there is a certain probability to detect new types of WebShell.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00126WebShell detectionmatrix decompositionfeature training |
| spellingShingle | Hua DAI Jing LI Xin-dai LU Xin SUN Machine learning algorithm for intelligent detection of WebShell 网络与信息安全学报 WebShell detection matrix decomposition feature training |
| title | Machine learning algorithm for intelligent detection of WebShell |
| title_full | Machine learning algorithm for intelligent detection of WebShell |
| title_fullStr | Machine learning algorithm for intelligent detection of WebShell |
| title_full_unstemmed | Machine learning algorithm for intelligent detection of WebShell |
| title_short | Machine learning algorithm for intelligent detection of WebShell |
| title_sort | machine learning algorithm for intelligent detection of webshell |
| topic | WebShell detection matrix decomposition feature training |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00126 |
| work_keys_str_mv | AT huadai machinelearningalgorithmforintelligentdetectionofwebshell AT jingli machinelearningalgorithmforintelligentdetectionofwebshell AT xindailu machinelearningalgorithmforintelligentdetectionofwebshell AT xinsun machinelearningalgorithmforintelligentdetectionofwebshell |