| Presentation | 2008-07-25 Detection of Unknown Computer Virus Variants Based on Computer Behavior Haruka MIMORI, Koki ABE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We observed the behavior of computer viruses by monitoring the behavior of computers infected by the mass-mailing viruses. We employed machine learning methods to learn the behaviors of known virus variants to identify unknown variants. The learning results using eight kinds of viruses each with three variants revealed that the methods can correctly identify unknown virus variants with an accuracy of more than 80%. It was also found that the accuracy of identification differs among different kinds of viruses, but the accuracy of identifying virus variants discovered close in time tends to be high. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Unknown viruses / variants / data mining |
| Paper # | ISEC2008-35 |
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| Conference Information | |
| Committee | ISEC |
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| Conference Date | 2008/7/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Information Security (ISEC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Unknown Computer Virus Variants Based on Computer Behavior |
| Sub Title (in English) | |
| Keyword(1) | Unknown viruses |
| Keyword(2) | variants |
| Keyword(3) | data mining |
| 1st Author's Name | Haruka MIMORI |
| 1st Author's Affiliation | Department of Computer Science, he University of Electro-Communications() |
| 2nd Author's Name | Koki ABE |
| 2nd Author's Affiliation | Department of Computer Science, he University of Electro-Communications |
| Date | 2008-07-25 |
| Paper # | ISEC2008-35 |
| Volume (vol) | vol.108 |
| Number (no) | 162 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |