Presentation | 2007-01-19 Analysis and Visualization of Network IDS Data Using Machine Learning Hayato OHBA, JungSuk SONG, Hiroki TAKAKURA, Yasuo OKABE, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we clarify the differences between both datasets by using the log data of an IDS deployed in Kyoto University and propose novel visualizing method based on machine learning. One of the major problems of IDS is a huge amount of false positive rate. As a mater of face, various data mining and visualizing techniques have been proposed to overcome the problem. KDDCup'99, presented in 1999 is used even until now. However, the dataset is not able to handle current intrusions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | IDS / Visualization / KDDCup'99 / LBG algorithm |
Paper # | IA2006-36 |
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Committee | IA |
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Conference Date | 2007/1/11(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 | 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) | Analysis and Visualization of Network IDS Data Using Machine Learning |
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Keyword(1) | IDS |
Keyword(2) | Visualization |
Keyword(3) | KDDCup'99 |
Keyword(4) | LBG algorithm |
1st Author's Name | Hayato OHBA |
1st Author's Affiliation | Graduate School of informatics, Kyoto University() |
2nd Author's Name | JungSuk SONG |
2nd Author's Affiliation | Graduate School of informatics, Kyoto University |
3rd Author's Name | Hiroki TAKAKURA |
3rd Author's Affiliation | Academic Center for Computing and Media Studies, Kyoto University |
4th Author's Name | Yasuo OKABE |
4th Author's Affiliation | Academic Center for Computing and Media Studies, Kyoto University |
Date | 2007-01-19 |
Paper # | IA2006-36 |
Volume (vol) | vol.106 |
Number (no) | 465 |
Page | pp.pp.- |
#Pages | 6 |
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