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A Machine Learning Approach to Anti - virus System
https://ipsj.ixsq.nii.ac.jp/records/50272
https://ipsj.ixsq.nii.ac.jp/records/50272c67486e1-cbe2-475c-8556-eb89088336de
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-ICS04138011.pdf (362.8 kB)
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Copyright (c) 2004 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2004-12-04 | |||||||
| タイトル | ||||||||
| タイトル | A Machine Learning Approach to Anti - virus System | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | A Machine Learning Approach to Anti - virus System | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| University of Natural Sciences Ho Chi Minh City | ||||||||
| 著者所属 | ||||||||
| Hanoi University of Technology | ||||||||
| 著者所属 | ||||||||
| Cantho Inservice University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| University of Natural Sciences Ho Chi Minh City | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Hanoi University of Technology | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Cantho Inservice University | ||||||||
| 著者名 |
Hoang, Kiem
× Hoang, Kiem
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| 著者名(英) |
Hoang, Kiem
× Hoang, Kiem
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | As the development of Internet nowadays computer viruses have been a hot story. They more and more seriously infect destroy and steal data from many computer systems in the world. Therefore it is necessary to improve the identifying method of an anti-virus system. In this paper we would like to introduce an intelligent anti-virus system by using Machine Learning Rule-based Approach. The basic tasks of this project consist of modeling knowledge base forming rule sets to recognize known viruses diagnosing and discovering interesting rules from virus database using Data Mining algorithms finding hidden attributes/behaviors and predicting unknown viruses with Genetic Programming tools. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | As the development of Internet nowadays, computer viruses have been a hot story. They more and more seriously infect, destroy and steal data from many computer systems in the world. Therefore, it is necessary to improve the identifying method of an anti-virus system. In this paper, we would like to introduce an intelligent anti-virus system by using Machine Learning Rule-based Approach. The basic tasks of this project consist of modeling knowledge base, forming rule sets to recognize known viruses, diagnosing and discovering interesting rules from virus database using Data Mining algorithms, finding hidden attributes/behaviors and predicting unknown viruses with Genetic Programming tools. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA11135936 | |||||||
| 書誌情報 |
情報処理学会研究報告知能と複雑系（ICS） 巻 2004, 号 125(2004-ICS-138), p. 61-66, 発行日 2004-12-04 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
