Hidden Markov model based P2P flow identification technique
To identify various P2P flows accurately in real-time,a hidden Markov model(HMM)based P2P flow identification technique was proposed.This approach made use of packet size,inter-arrival time and arrival order to construct flow identification model,in which discrete random variable was used to depict...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2012-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)06-0055-09/ |
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| _version_ | 1841539889005330432 |
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| author | Bo XU Ming CHEN Xiang-lin WEI |
| author_facet | Bo XU Ming CHEN Xiang-lin WEI |
| author_sort | Bo XU |
| collection | DOAJ |
| description | To identify various P2P flows accurately in real-time,a hidden Markov model(HMM)based P2P flow identification technique was proposed.This approach made use of packet size,inter-arrival time and arrival order to construct flow identification model,in which discrete random variable was used to depict the characteristics of HMM state.A framework called HMM-FIA was proposed,which could identify various P2P flows simultaneously.Meanwhile,the algorithm for selecting the number of HMM state was designed.In a controllable experimental circumstance in the campus network,HMM-FIA was utilized to identify P2P flows and was compared with other identification methods.The results show that discrete random variable can decrease the model constructing time and improve the time-cost and accuracy in identifying unknown flows,HMM-FIA can correctly identify the packet flows produced by various P2P protocols and it can be adaptive to different network circumstance. |
| format | Article |
| id | doaj-art-0270fc62b3894aa39dc07261e8b61e2a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0270fc62b3894aa39dc07261e8b61e2a2025-01-14T06:32:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-06-0133556359662783Hidden Markov model based P2P flow identification techniqueBo XUMing CHENXiang-lin WEITo identify various P2P flows accurately in real-time,a hidden Markov model(HMM)based P2P flow identification technique was proposed.This approach made use of packet size,inter-arrival time and arrival order to construct flow identification model,in which discrete random variable was used to depict the characteristics of HMM state.A framework called HMM-FIA was proposed,which could identify various P2P flows simultaneously.Meanwhile,the algorithm for selecting the number of HMM state was designed.In a controllable experimental circumstance in the campus network,HMM-FIA was utilized to identify P2P flows and was compared with other identification methods.The results show that discrete random variable can decrease the model constructing time and improve the time-cost and accuracy in identifying unknown flows,HMM-FIA can correctly identify the packet flows produced by various P2P protocols and it can be adaptive to different network circumstance.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)06-0055-09/peer to peerfinite state machineflow identificationhidden Markov mode |
| spellingShingle | Bo XU Ming CHEN Xiang-lin WEI Hidden Markov model based P2P flow identification technique Tongxin xuebao peer to peer finite state machine flow identification hidden Markov mode |
| title | Hidden Markov model based P2P flow identification technique |
| title_full | Hidden Markov model based P2P flow identification technique |
| title_fullStr | Hidden Markov model based P2P flow identification technique |
| title_full_unstemmed | Hidden Markov model based P2P flow identification technique |
| title_short | Hidden Markov model based P2P flow identification technique |
| title_sort | hidden markov model based p2p flow identification technique |
| topic | peer to peer finite state machine flow identification hidden Markov mode |
| url | http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)06-0055-09/ |
| work_keys_str_mv | AT boxu hiddenmarkovmodelbasedp2pflowidentificationtechnique AT mingchen hiddenmarkovmodelbasedp2pflowidentificationtechnique AT xianglinwei hiddenmarkovmodelbasedp2pflowidentificationtechnique |