| Presentation | 2014-01-21 Analysis of IP packet traffic using Self Organizing Maps Nozomu OKADA, Hiroshi DOZONO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, many packet analysis methods are proposed for the threat of the increasing malware. In this research, the method for the analysis of the IP packet based on SOM(Self-Organizing Map) using the frequency of appearance of IP-packets as input vectors is proposed. The performance of this method is examined by the experiment of detecting the packets generated by emulating malware behaviors. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Analysis of IP / SOM / CGH-SOM / malware |
| Paper # | NC2013-77 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2014/1/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Analysis of IP packet traffic using Self Organizing Maps |
| Sub Title (in English) | |
| Keyword(1) | Analysis of IP |
| Keyword(2) | SOM |
| Keyword(3) | CGH-SOM |
| Keyword(4) | malware |
| 1st Author's Name | Nozomu OKADA |
| 1st Author's Affiliation | Faculty of Engineering, Saga University() |
| 2nd Author's Name | Hiroshi DOZONO |
| 2nd Author's Affiliation | Faculty of Engineering, Saga University |
| Date | 2014-01-21 |
| Paper # | NC2013-77 |
| Volume (vol) | vol.113 |
| Number (no) | 382 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |