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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Main Authors: Jie WANG, Xiao-xian HE
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-09-01
Series:Tongxin xuebao
Subjects:
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