A Machine Learning Approach to Anti-virus System(Artificial Intelligence I)
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- KIEM HOANG
- University of Natural Sciences Ho Chi Minh City
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- THUY NGUYEN THANH
- Hanoi University of Technology
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- QUANG TRUONG MINH NHAT
- Cantho Inservice University
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抄録
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.
収録刊行物
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- 情報処理学会研究報告. ICS, [知能と複雑系]
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情報処理学会研究報告. ICS, [知能と複雑系] 2004 (125), 61-65, 2004-12-04
一般社団法人情報処理学会
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詳細情報
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- CRID
- 1571135652052341248
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- NII論文ID
- 110002694986
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- NII書誌ID
- AA11135936
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- ISSN
- 09196072
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- 本文言語コード
- en
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- データソース種別
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- CiNii Articles