Download e-book for iPad: Anti-Spam Techniques Based on Artificial Immune System by Ying Tan

By Ying Tan

Email has develop into an necessary conversation software in way of life. besides the fact that, excessive volumes of junk mail waste assets, intervene with productiveness, and current critical threats to machine method defense and private privateness. This publication introduces study on anti-spam concepts in accordance with the unreal immune process (AIS) to spot and filter out junk mail. It offers a unmarried resource of all anti-spam types and algorithms according to the AIS which have been proposed via the writer for the previous decade in quite a few journals and conferences.

Inspired via the organic immune approach, the AIS is an adaptive procedure in response to theoretical immunology and saw immune features, ideas, and types for challenge fixing. one of the number of anti-spam ideas, the AIS has been powerful and is turning into some of the most very important the right way to clear out junk mail. The publication additionally specializes in numerous key issues concerning the AIS, including:

  • Extraction equipment encouraged through a variety of immune principles

  • Construction techniques in accordance with numerous focus tools and models

  • Classifiers in response to immune hazard theory

  • The immune-based dynamic updating algorithm

  • Implementing AIS-based unsolicited mail filtering systems

The ebook additionally comprises a number of experiments and comparisons with cutting-edge anti-spam concepts to demonstrate the superb functionality AIS-based anti-spam techniques.

Anti-Spam thoughts according to man made Immune System supplies practitioners, researchers, and teachers a centralized resource of unique details on effective types and algorithms of AIS-based anti-spam strategies. It additionally includes the most up-tp-date info at the basic achievements of anti-spam learn and methods, outlining techniques for designing and utilizing spam-filtering models.

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Anti-Spam Techniques Based on Artificial Immune System by Ying Tan

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