Approach to Anomaly Traffic Detection in a Local Network : = Approach to Anomaly Traffic Detection in a Local Network
The research intends to solve the problem of the occupation of bandwidth of local network by abnormal traffic which affects normal user's network behaviors.Firstly,a new algorithm in this paper named danger-theory-based abnormal traffic detection was presented.Then an advanced ID3 algorithm was presented to classify the abnormal traffic.Finally a new model of anomaly traffic detection was built upon the two algorithms above and the detection results were integrated with firewall.The firewall limits the bandwidth based on different types of abnormal traffic.Experiments show the outstanding performance of the proposed approach in real-time property,high detection rate,and unsupervised learning..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2009-12-31 2009 |
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| Erschienen: |
2009-12-31 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2009 |
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| Enthalten in: |
Journal of Donghua University - (2009), 06 vom: 31. Dez., Seite 656-661 Original Letters: Enthalten in (DE-600)2997604-2 (DE-600)2997604-2 |
| Reihe: |
China Academic Journals (CAJ), I, 电子技术及信息科学 = Electronic Technology & Information Science |
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| Sprache: |
Chinesisch |
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| Weiterer Titel: |
Approach to Anomaly Traffic Detection in a Local Network |
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| Beteiligte Personen: |
王秀英 [VerfasserIn] |
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| Links: |
oversea.cnki.net [lizenzpflichtig] |
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| Anmerkungen: |
Author info:WANG Xiu-ying 1,2,XIAO Li-zhong 2,3,SHAO Zhi-qing2 1 Department of Computer Information,Shanghai Xinqiao Vocational and Technical College,Shanghai 200237,China2 School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China3 Department of Computer Science and Information Engineeting,Shanghai Institute of Technology,Shanghai 200235,China |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
CAJ323519202 |
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| 500 | |a Author info:WANG Xiu-ying 1,2,XIAO Li-zhong 2,3,SHAO Zhi-qing2 1 Department of Computer Information,Shanghai Xinqiao Vocational and Technical College,Shanghai 200237,China2 School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China3 Department of Computer Science and Information Engineeting,Shanghai Institute of Technology,Shanghai 200235,China | ||
| 520 | |a The research intends to solve the problem of the occupation of bandwidth of local network by abnormal traffic which affects normal user's network behaviors.Firstly,a new algorithm in this paper named danger-theory-based abnormal traffic detection was presented.Then an advanced ID3 algorithm was presented to classify the abnormal traffic.Finally a new model of anomaly traffic detection was built upon the two algorithms above and the detection results were integrated with firewall.The firewall limits the bandwidth based on different types of abnormal traffic.Experiments show the outstanding performance of the proposed approach in real-time property,high detection rate,and unsupervised learning. | ||
| 610 | 2 | 4 | |a Department of Computer Information,Shanghai Xinqiao Vocational and Technical College |
| 610 | 2 | 4 | |a School of Information Science and Engineering,East China University of Science and Technology |
| 610 | 2 | 4 | |a Department of Computer Science and Information Engineeting,Shanghai Institute of Technology |
| 650 | 4 | |a 计算机网络安全 | |
| 650 | 4 | |a 一般性问题 | |
| 650 | 4 | |a 计算机网络 | |
| 650 | 4 | |a 计算机的应用 | |
| 650 | 4 | |a 计算技术、计算机技术 | |
| 650 | 4 | |a 自动化技术、计算机技术 | |
| 650 | 4 | |a 工业技术 | |
| 650 | 4 | |a Internet Technology | |
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