2013 Fiscal Year Final Research Report
Network Traffic Anomaly Detection Utilizing the Dispersion of R/S Poxdiagram
| Project/Area Number |
23500076
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | Akita University |
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Principal Investigator |
IGARASHI Ryuji 秋田大学, 工学(系)研究科(大学院), 教授 (00091786)
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| Project Period (FY) |
2011 – 2013
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| Keywords | ポートスキャン / 異常トラフィック検知 / R/S解析 / ポックスダイアグラム / パワースペクトル / ペリオドグラム |
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| Research Abstract |
Over the Internet many kinds of malicious traffic are superimposed on the normal flow. In those cases, pieces of malicious traffic are detected as an anomaly in the traffic flow. It is well known that the Internet traffic obeys a selfsimilarity and the degree of the selfsimilraity is estimated by an R/S pox diagram. In case anomaly is superimposed in the traffic, the shape of the R/S pox diagram provides characteristic dispersions. In this study the author could successfully apply the characteristic dispersion of the pox diagram to detect the traffic anomaly.
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