Efficient segment pattern based method for malicious URL detection
An efficient segment based method for detecting malicious URL was proposed.Firstly it analyzed the annotated malicious URLs in terms of three semantic segments,i.e.,domain segment,path segment and file segment.Secondly it quickly calculated the common pattern of each semantic segment exploiting the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015293/ |
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| _version_ | 1841539553863663616 |
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| author | Hai-lun LIN Yan LI Wei-ping WANG Yin-liang YUE Zheng LIN |
| author_facet | Hai-lun LIN Yan LI Wei-ping WANG Yin-liang YUE Zheng LIN |
| author_sort | Hai-lun LIN |
| collection | DOAJ |
| description | An efficient segment based method for detecting malicious URL was proposed.Firstly it analyzed the annotated malicious URLs in terms of three semantic segments,i.e.,domain segment,path segment and file segment.Secondly it quickly calculated the common pattern of each semantic segment exploiting the tri-gram model based inverted index.Finally it decided whether a given URL was malicious based on the segment patterns returned by searching the inverted index.Moreover,this method also supported the Jaccard based random domain name identification technique for deciding malicious URLs with random domain name.Experimental results show that proposed method outperforms the state-of-the-art baseline methods,and can achieve good efficiency and scalability on malicious URL detection. |
| format | Article |
| id | doaj-art-0d286de6e5324274877d2a4c9faf5653 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0d286de6e5324274877d2a4c9faf56532025-01-14T06:54:22ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-11-013614114859697777Efficient segment pattern based method for malicious URL detectionHai-lun LINYan LIWei-ping WANGYin-liang YUEZheng LINAn efficient segment based method for detecting malicious URL was proposed.Firstly it analyzed the annotated malicious URLs in terms of three semantic segments,i.e.,domain segment,path segment and file segment.Secondly it quickly calculated the common pattern of each semantic segment exploiting the tri-gram model based inverted index.Finally it decided whether a given URL was malicious based on the segment patterns returned by searching the inverted index.Moreover,this method also supported the Jaccard based random domain name identification technique for deciding malicious URLs with random domain name.Experimental results show that proposed method outperforms the state-of-the-art baseline methods,and can achieve good efficiency and scalability on malicious URL detection.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015293/malicious URLsegment patterntri-graminverted indexrandom name |
| spellingShingle | Hai-lun LIN Yan LI Wei-ping WANG Yin-liang YUE Zheng LIN Efficient segment pattern based method for malicious URL detection Tongxin xuebao malicious URL segment pattern tri-gram inverted index random name |
| title | Efficient segment pattern based method for malicious URL detection |
| title_full | Efficient segment pattern based method for malicious URL detection |
| title_fullStr | Efficient segment pattern based method for malicious URL detection |
| title_full_unstemmed | Efficient segment pattern based method for malicious URL detection |
| title_short | Efficient segment pattern based method for malicious URL detection |
| title_sort | efficient segment pattern based method for malicious url detection |
| topic | malicious URL segment pattern tri-gram inverted index random name |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015293/ |
| work_keys_str_mv | AT hailunlin efficientsegmentpatternbasedmethodformaliciousurldetection AT yanli efficientsegmentpatternbasedmethodformaliciousurldetection AT weipingwang efficientsegmentpatternbasedmethodformaliciousurldetection AT yinliangyue efficientsegmentpatternbasedmethodformaliciousurldetection AT zhenglin efficientsegmentpatternbasedmethodformaliciousurldetection |