Presentation 2006-11-16
A study on detecting network anomalies using sampled flow statistics
Ryoichi KAWAHARA, Tatsuya MORI, Keisuke ISHIBASHI, Noriaki KAMIYAMA, Shigeaki HARADA, Shoichiro ASANO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We investigate how to detect network anomalies using flow statistics obtained through packet sampling. First, we show that network anomalies generating a huge number of small flows, such as network scans or SYN flooding, become hard to detect when we execute the packet sampling. This is because such flows are more unlikely to be sampled than normal flows. As a solution to this problem, we then show that we can increase the detectability of such anomalies by spatially partitioning the monitored traffic into some groups so that we concentrate anomalous flows on particular group(s). We also show its effectiveness through actual measurement data.
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Keyword(in English) packet sampling / anomaly detection / flow
Paper # NS2006-124,CQ2006-65,TM2006-38
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Committee NS
Conference Date 2006/11/9(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on detecting network anomalies using sampled flow statistics
Sub Title (in English)
Keyword(1) packet sampling
Keyword(2) anomaly detection
Keyword(3) flow
1st Author's Name Ryoichi KAWAHARA
1st Author's Affiliation NTT Service Integration Laboratories, NTT Corporation()
2nd Author's Name Tatsuya MORI
2nd Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
3rd Author's Name Keisuke ISHIBASHI
3rd Author's Affiliation NTT Information Sharing Platform Laboratories, NTT Corporation
4th Author's Name Noriaki KAMIYAMA
4th Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
5th Author's Name Shigeaki HARADA
5th Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
6th Author's Name Shoichiro ASANO
6th Author's Affiliation National Institute of Informatics
Date 2006-11-16
Paper # NS2006-124,CQ2006-65,TM2006-38
Volume (vol) vol.106
Number (no) 355
Page pp.pp.-
#Pages 6
Date of Issue