New PDF release: Anti-Spam Techniques Based on Artificial Immune System

By Ying Tan

ISBN-10: 149872518X

ISBN-13: 9781498725187

Email has develop into an essential communique device in everyday life. even though, excessive volumes of unsolicited mail waste assets, intrude with productiveness, and current serious threats to machine process defense and private privateness. This booklet introduces study on anti-spam innovations in line with the bogus immune approach (AIS) to spot and clear out junk mail. It offers a unmarried resource of all anti-spam versions and algorithms in line with the AIS which were proposed by way of the writer for the previous decade in a number of journals and conferences.

Inspired through the organic immune procedure, the AIS is an adaptive method in response to theoretical immunology and saw immune services, rules, and versions for challenge fixing. one of the number of anti-spam thoughts, the AIS has been powerful and is turning into some of the most very important the way to clear out junk mail. The publication additionally specializes in numerous key themes concerning the AIS, including:

  • Extraction tools encouraged by means of numerous immune principles

  • Construction methods according to a number of focus equipment and models

  • Classifiers in response to immune possibility theory

  • The immune-based dynamic updating algorithm

  • Implementing AIS-based junk mail filtering systems

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

Anti-Spam concepts in line with man made Immune System offers practitioners, researchers, and lecturers a centralized resource of special info on effective types and algorithms of AIS-based anti-spam thoughts. It additionally comprises the most up-tp-date info at the common achievements of anti-spam study and ways, outlining recommendations for designing and making use of spam-filtering models.

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

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