| Presentation | 2011-11-28 A Consideration of Regular Traffic Analysis in a Local Area Network Jun SUGAHARA, Toyokazu AKIYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Understanding regular traffic is necessary to apply network anomaly detection methods. In this paper, we investigated the traffic parameter distribution of a Local Area Network (LAN). We use Gaussian Mixture Model approximation to analyze the difference in the number of packets and flows per unit time. As a result of the investigation, we confirmed the assumption of the distribution in the existing detection methods is not always applicable to the LAN. We also confirmed that the proposed analysis method can be more effective by extracting the target packets and store the captured packets to the DB. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | anomaly detection / EM algorithm / traffic analysis |
| Paper # | IA2011-37 |
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| Conference Information | |
| Committee | IA |
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| Conference Date | 2011/11/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Internet Architecture(IA) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Consideration of Regular Traffic Analysis in a Local Area Network |
| Sub Title (in English) | |
| Keyword(1) | anomaly detection |
| Keyword(2) | EM algorithm |
| Keyword(3) | traffic analysis |
| 1st Author's Name | Jun SUGAHARA |
| 1st Author's Affiliation | Kyoto Sangyo University() |
| 2nd Author's Name | Toyokazu AKIYAMA |
| 2nd Author's Affiliation | Kyoto Sangyo University |
| Date | 2011-11-28 |
| Paper # | IA2011-37 |
| Volume (vol) | vol.111 |
| Number (no) | 321 |
| Page | pp.pp.- |
| #Pages | 6 |
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