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Research of Anti-spam System Basing on Immunity Systemand Mobile Agent

Research of Anti-spam System Basing on Immunity System and Mobile Agent
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摘要 The human immune system has the function of selfdiscern.It can identify the non-self antigen and clear it through the immune response automatically.So,human body has the power of resisting disease.The anti-spam system basing on immune system is proposed by using immune system′s theory,and it is introduced in the mail service of enterprise VPN.Regard VPN as the human body,the mobile agent is simulated the antibody because of its movable and intelligent,and the spam is simulated the antigen.It can clear the spam by using immune mechanism.This method is a new thinking of anti-spam mail.The advantage is overcoming the weakness on independence of traditional antispam system. The human immune system has the function of self- discern. It can identify the non - self antigen and clear it through the immune response automatically. So, human body has the power of resisting disease. The anti - spare system basing on immune system is proposed by using immune system's theory,and it is introduced in the mail service of enterprise VPN. Regard VPN as the human body, the mobile agent is simulated the antibody because of its movable and intelligent, and the spare is simulated the antigen. It can clear the spare by using immune mechanism. This method is a new thinking of anti - spare mail. The advantage is overcoming the weakness on independence of traditional anti - spare system.
出处 《现代电子技术》 2007年第3期62-64,共3页 Modern Electronics Technique
关键词 免疫系统 移动AGENT 免疫响应 虚拟网络 垃圾邮件 immune system spam mobile agent VPN
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参考文献5

  • 1Bi Aihua,Gong Feili.Immunology in Medicine[M].Beijing,People's Military Medical Press.,1995.
  • 2William S Yerazunis.The Spam-Filtering Accuracy Plateau at 99.9% Accuracy and How to Get Past it[C].MIT Spam Conference,2004.
  • 3PaulGraham.com.Better Bayesian Filtering[EB/OL].www.paulgraham.com/better.html.
  • 4Androutsopoulos I.Paliouras G.Learning to Filter Spam E-Mail:A Comparison of a Naive Bayesian and a Memory-Based Approach.4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2000),Lyon,France,2000:1-13.
  • 5Clark J,Koprinska I,Poon J.A Neural Network Based Approach to Automated E-mail Classification.Web Intelligence,2003.WI 2003.Proceedings.IEEE/WIC International Conference on 13-17 Oct.,2003:702-705.

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