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  • 标题:Research Some Algorithms in Machine Learning and Artificial Immune System, Apply to Set Up a Virus Detection System
  • 本地全文:下载
  • 作者:Vu Thanh Nguyen ; Nguyen Vinh Kha ; Nguyen Phýõng Anh
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:The article learns about the components and mechanisms of artificial immune system (AIS). Three key problems of artificial immune system: pattern recognition, negative selection and clonal selection will be presented in essay thoroughly. Based on the theoretical results, the authors implemented an adaptive virus detection system. As a smart virus detection system, it is not only capable of detecting known virus patterns but also have the ability to identify new threats. Two popular classifiers, RBF network and SVM, also are integrated to the system to increase the detection ability of the system.
  • 关键词:Anti;virus; artificial immune system; artificial intelligent.
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