A Machine Learning Approach to Anti-virus System(Artificial Intelligence I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
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概要
- 論文の詳細を見る
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 ah 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.
- 社団法人電子情報通信学会の論文
- 2004-11-27
著者
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Thuy Nguyen
Hanoi University Of Technology
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Quang Truong
Cantho Inservice University
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KIEM HOANG
University of Natural Sciences Ho Chi Minh City
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KIEMT HOANG
University of Natural Sciences Ho Chi Minh City
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THANH THUY
Hanoi University of Technology
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Nguyen Thanh
Hanoi University of Technology
関連論文
- A Mixed Similarity Measure for Data with Numeric, Symbolic and Ordinal Attributes(Artificial Intelligence I)
- A Machine Learning Approach to Anti-virus System
- A Machine Learning Approach to Anti-virus System(Artificial Intelligence I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)