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Unwanted Emails Filtering Based on Immune Multi-agent Systems

  • Ganiev Salim,
  • Khamidov Sherzod

摘要

The number of e-mail users is growing, and e-mail security risks are increasing. The traditional spam filtering methods include problems such as low fault detection, high false alarm rate, poor self-adaption, etc. In this paper overview model of a combination of artificial immune and multi-agent technology for spam, filtration is given.