Presentation | 2002/9/24 Network Anomaly Detection using Statistical Clustering Method Tatsuya OIKAWA, Yuji WAIZUMI, Kohei OHTA, Nei KATO, Yoshiaki NEMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In network management, it is important to be able to detect anomalous events such as illegal entries and hardware breakdowns. Much attention in the past has been given to research providing this detection capability, such as IDS. This previous research is based upon misuse detction methods, however, such methods become ineffective against unprofiled ways of illegal entry. In addition, host-based methods of network management provide a smaller protection coverage, furthermore, network-based methods offer the same result as well. In this paper, we apply the anomaly detection method onto network conditions. A model of the network condition is created and this method is applied onto that framework in order to determine whether that network condition is either anomalous or normal. To prove the validity of the method, this method is then applied to the trace data of actual network traffic. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Anomaly Detection / Clustering / Dendrogram / Principal Component Analysis (PCA) |
Paper # | IN2002-87 |
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Committee | IN |
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Conference Date | 2002/9/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Network Anomaly Detection using Statistical Clustering Method |
Sub Title (in English) | |
Keyword(1) | Anomaly Detection |
Keyword(2) | Clustering |
Keyword(3) | Dendrogram |
Keyword(4) | Principal Component Analysis (PCA) |
1st Author's Name | Tatsuya OIKAWA |
1st Author's Affiliation | Graduate School of Information Sciences, TOHOKU University() |
2nd Author's Name | Yuji WAIZUMI |
2nd Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
3rd Author's Name | Kohei OHTA |
3rd Author's Affiliation | Cyber Solutions. Inc. |
4th Author's Name | Nei KATO |
4th Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
5th Author's Name | Yoshiaki NEMOTO |
5th Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
Date | 2002/9/24 |
Paper # | IN2002-87 |
Volume (vol) | vol.102 |
Number (no) | 351 |
Page | pp.pp.- |
#Pages | 6 |
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