Anti-Spam Techniques Based on Artificial Immune System - download pdf or read online

By Ying Tan

Email has develop into an fundamental conversation instrument in everyday life. even if, excessive volumes of unsolicited mail waste assets, intrude with productiveness, and current critical threats to computing device procedure defense and private privateness. This e-book introduces learn on anti-spam innovations in accordance with the factitious immune procedure (AIS) to spot and clear out unsolicited mail. It presents a unmarried resource of all anti-spam types and algorithms in line with the AIS which have been proposed through the writer for the earlier decade in a variety of journals and conferences.


Inspired by way of the organic immune method, the AIS is an adaptive process in response to theoretical immunology and saw immune services, ideas, and types for challenge fixing. one of the number of anti-spam thoughts, the AIS has been powerful and is changing into the most very important how you can clear out unsolicited mail. The booklet additionally makes a speciality of numerous key issues on the topic of the AIS, including:



  • Extraction equipment encouraged by means of a number 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 junk mail filtering systems

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


Anti-Spam innovations in line with synthetic Immune System supplies practitioners, researchers, and lecturers a centralized resource of distinctive 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 examine and methods, outlining options 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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