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

By Ying Tan

ISBN-10: 149872518X

ISBN-13: 9781498725187

Email has turn into an crucial verbal exchange software in lifestyle. although, excessive volumes of junk mail waste assets, intervene with productiveness, and current serious threats to machine approach defense and private privateness. This publication introduces study on anti-spam strategies according to the substitute immune method (AIS) to spot and filter out junk mail. It presents a unmarried resource of all anti-spam types and algorithms according to the AIS which were proposed by means of the writer for the prior decade in a number of journals and conferences.


Inspired through the organic immune approach, the AIS is an adaptive procedure in response to theoretical immunology and saw immune services, ideas, and versions for challenge fixing. one of the number of anti-spam innovations, the AIS has been powerful and is changing into essentially the most vital the way to clear out unsolicited mail. The ebook additionally specializes in numerous key themes regarding the AIS, including:



  • Extraction tools encouraged by way of a variety of immune principles

  • Construction methods in keeping with a number of focus tools and models

  • Classifiers in line with immune chance theory

  • The immune-based dynamic updating algorithm

  • Implementing AIS-based junk mail filtering systems

The ebook additionally comprises numerous experiments and comparisons with state of the art anti-spam strategies to demonstrate the superb functionality AIS-based anti-spam techniques.


Anti-Spam innovations in keeping with man made Immune System supplies practitioners, researchers, and teachers a centralized resource of designated info on effective types and algorithms of AIS-based anti-spam options. It additionally includes the most up-tp-date details at the normal achievements of anti-spam learn and ways, outlining suggestions for designing and utilising spam-filtering models.

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


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