Presentation | 2002/3/13 Studies on the Intrusion Detection System using Modular Neural Networks Hiroshi SHIRATSUCHI, Kazuki SHIMABUKURO, Naoki HIGA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This report studies that the Intrusion Detection System(IDS) using modular neural networks(MNN) improves the unknown attacks detection. It is proposed that the learning method for composing the personal profile at the normally situation on each module of the MNN. Each UNIX's commands with packet capturing are encoded by the characteristic attributes. These attributes are selected from among the behavior, which can guess the intruder, for example execute capability, using network ports, important keywords matching. From the simulation, using the actual network packet, it is shown that the proposed personal discernment system is detected to the unknown users. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | IDS / Personal profile / modular neural networks |
Paper # | NC2001-225 |
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Committee | NC |
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Conference Date | 2002/3/13(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Studies on the Intrusion Detection System using Modular Neural Networks |
Sub Title (in English) | |
Keyword(1) | IDS |
Keyword(2) | Personal profile |
Keyword(3) | modular neural networks |
1st Author's Name | Hiroshi SHIRATSUCHI |
1st Author's Affiliation | Faculty of Engineering, University of the Ryukyus() |
2nd Author's Name | Kazuki SHIMABUKURO |
2nd Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
3rd Author's Name | Naoki HIGA |
3rd Author's Affiliation | Faculty of Engineering, University of the Ryukyus |
Date | 2002/3/13 |
Paper # | NC2001-225 |
Volume (vol) | vol.101 |
Number (no) | 737 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |