| Presentation | 2004/10/15 Improving Accuracy of Network-based Anomaly Detection Using Multiple Detection Modules Yohei SATO, Yuji WAIZUMI, Yoshiaki NEMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Accuracy of anomaly-based intrusion detection depends on used features obtained from network traf- fic. Therefore, use of appropriate features that suited to each type of anomalous event is necessary for improving accuracy of the detection. In this paper, we describe that an anomaly affects specific features according to its char- acteristics. Then, we propose the intrusion detetction system consist of multiple detection modules. Each module uses different features to detect different type of anomalies. In addition, effectiveness of the proposed system is shown through experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anomaly Detection / Improving Accuracy / Features / Principal Component Analysis(PCA) |
| Paper # | NS2004-144 |
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| Conference Information | |
| Committee | NS |
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| Conference Date | 2004/10/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Network Systems(NS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improving Accuracy of Network-based Anomaly Detection Using Multiple Detection Modules |
| Sub Title (in English) | |
| Keyword(1) | Anomaly Detection |
| Keyword(2) | Improving Accuracy |
| Keyword(3) | Features |
| Keyword(4) | Principal Component Analysis(PCA) |
| 1st Author's Name | Yohei SATO |
| 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 | Yoshiaki NEMOTO |
| 3rd Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
| Date | 2004/10/15 |
| Paper # | NS2004-144 |
| Volume (vol) | vol.104 |
| Number (no) | 354 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |