A Machine Learning Approach to Anti-virus System(Artificial Intelligence I)

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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.

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詳細情報

  • CRID
    1571135652052341248
  • NII論文ID
    110002694986
  • NII書誌ID
    AA11135936
  • ISSN
    09196072
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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