Automated polymorphic worm signature generation approach based on seed-extending
A polymorphic worm signature generation approach based on seed-extending,SESG,was proposed.Firstly,algorithm SESG puts all sequences into a queue based on their weight.Seed sequence in the queue is extended,and all kinds of worm sequences and noise sequences are classified.Finally,worm signature is...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2014-09-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.09.002/ |
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author | Jie WANG Xiao-xian HE |
author_facet | Jie WANG Xiao-xian HE |
author_sort | Jie WANG |
collection | DOAJ |
description | A polymorphic worm signature generation approach based on seed-extending,SESG,was proposed.Firstly,algorithm SESG puts all sequences into a queue based on their weight.Seed sequence in the queue is extended,and all kinds of worm sequences and noise sequences are classified.Finally,worm signature is generated from classified worm sequences.Experiments are run to test SESG and compared with other approaches.Experiment results show that SESG can classify worm sequences and noise sequences from suspicious flow pool over other existed approaches,which can generate effective worm signature more easily. |
format | Article |
id | doaj-art-39757ae7818743faac41a517f4ed6a46 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2014-09-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-39757ae7818743faac41a517f4ed6a462025-01-14T06:43:54ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-09-0135121959683937Automated polymorphic worm signature generation approach based on seed-extendingJie WANGXiao-xian HEA polymorphic worm signature generation approach based on seed-extending,SESG,was proposed.Firstly,algorithm SESG puts all sequences into a queue based on their weight.Seed sequence in the queue is extended,and all kinds of worm sequences and noise sequences are classified.Finally,worm signature is generated from classified worm sequences.Experiments are run to test SESG and compared with other approaches.Experiment results show that SESG can classify worm sequences and noise sequences from suspicious flow pool over other existed approaches,which can generate effective worm signature more easily.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.09.002/nformation securityseed-extending algorithmpolymorphic wormworm detectionworm signature |
spellingShingle | Jie WANG Xiao-xian HE Automated polymorphic worm signature generation approach based on seed-extending Tongxin xuebao nformation security seed-extending algorithm polymorphic worm worm detection worm signature |
title | Automated polymorphic worm signature generation approach based on seed-extending |
title_full | Automated polymorphic worm signature generation approach based on seed-extending |
title_fullStr | Automated polymorphic worm signature generation approach based on seed-extending |
title_full_unstemmed | Automated polymorphic worm signature generation approach based on seed-extending |
title_short | Automated polymorphic worm signature generation approach based on seed-extending |
title_sort | automated polymorphic worm signature generation approach based on seed extending |
topic | nformation security seed-extending algorithm polymorphic worm worm detection worm signature |
url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.09.002/ |
work_keys_str_mv | AT jiewang automatedpolymorphicwormsignaturegenerationapproachbasedonseedextending AT xiaoxianhe automatedpolymorphicwormsignaturegenerationapproachbasedonseedextending |