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

By Ying Tan

ISBN-10: 149872518X

ISBN-13: 9781498725187

Email has develop into an quintessential communique instrument in everyday life. in spite of the fact that, excessive volumes of unsolicited mail waste assets, intervene with productiveness, and current critical threats to machine approach defense and private privateness. This ebook introduces study on anti-spam ideas according to the bogus immune method (AIS) to spot and filter out unsolicited mail. It offers a unmarried resource of all anti-spam versions and algorithms in line with the AIS which were proposed through the writer for the prior decade in numerous journals and conferences.

Inspired through the organic immune process, the AIS is an adaptive approach according to theoretical immunology and saw immune capabilities, rules, and types for challenge fixing. one of the number of anti-spam strategies, the AIS has been powerful and is changing into the most vital tips on how to filter out junk mail. The publication additionally specializes in a number of key themes on the topic of the AIS, including:

  • Extraction equipment encouraged via a number of immune principles

  • Construction ways in response to a number of focus tools and models

  • Classifiers in accordance with immune possibility theory

  • The immune-based dynamic updating algorithm

  • Implementing AIS-based unsolicited mail filtering systems

The ebook additionally contains a number of experiments and comparisons with cutting-edge anti-spam recommendations to demonstrate the wonderful functionality AIS-based anti-spam techniques.

Anti-Spam concepts in accordance with synthetic Immune System supplies practitioners, researchers, and teachers a centralized resource of specified details on effective types and algorithms of AIS-based anti-spam recommendations. It additionally comprises the most up-tp-date info at the common achievements of anti-spam study and ways, outlining thoughts for designing and employing spam-filtering models.

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

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