| Presentation | 2006-01-24 Personal authentication based on keystrokes by using multi-layered neural networks Eiji WATANABE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This report discusses a personal authentication method based on the keystroke dynamics, which is extracted from passwords inputted in the login procedure for the computer. In the authentication method using the keystroke dynamics, we have a advantage that such a method needs only the keyboard as an input equipment. On the other hand, since such a method uses the behavior characteristics, we adequately have to process these features with large variance. It is very important to extract each adequate feature from these behavior features. In this report, we discuss the two methods, that is, a verification method by using the statistics and methods by using neural networks. Finally, we compare concretely these methods based on experimental results. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | login / password / keystroke dynamics / personal authentication / multi-layered neural network |
| Paper # | NC2005-103 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2006/1/17(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) | Personal authentication based on keystrokes by using multi-layered neural networks |
| Sub Title (in English) | |
| Keyword(1) | login |
| Keyword(2) | password |
| Keyword(3) | keystroke dynamics |
| Keyword(4) | personal authentication |
| Keyword(5) | multi-layered neural network |
| 1st Author's Name | Eiji WATANABE |
| 1st Author's Affiliation | Faculty of Science and Engineering, Konan University() |
| Date | 2006-01-24 |
| Paper # | NC2005-103 |
| Volume (vol) | vol.105 |
| Number (no) | 544 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |