Description

Book Synopsis

Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam. It provides a single source of all anti-spam models and algorithms based on the AIS that have been proposed by the author for the past decade in various journals and conferences.

Inspired by the biological immune system, the AIS is an adaptive system based on theoretical immunology and observed immune functions, principles, and models for problem solving. Among the variety of anti-spam techniques, the AIS has been highly effective and is becoming one of the most important methods to filter spam. The book also focuses on several key topics related to the AIS, including:

  • Extraction methods inspired by various immune principles

    Table of Contents

    Anti-Spam Technologies. Artificial Immune System. Term Space Partition-Based Feature Construction Approach. Immune Concentration-Based Feature Construction Approach. Local Concentration-Based Feature Extraction Approach. Multi-Resolution Concentration-Based Feature Construction Approach. Adaptive Concentration Selection Model. Variable Length Concentration-Based Feature Construction Method. Parameter Optimization of Concentration-Based Feature Construction Approaches. Immune Danger Theory-Based Ensemble Method. Immune Danger Zone Principle-Based Dynamic Learning Method. Immune-Based Dynamic Updating Algorithm. AIS-Based Spam Filtering System and Implementation.

AntiSpam Techniques Based on Artificial Immune

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    A Hardback by Ying Tan

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      Publisher: Taylor & Francis Inc
      Publication Date: Publication Date: 01/12/2015
      ISBN13: 9781498725187, 978-1498725187
      ISBN10: 149872518X

      Description

      Book Synopsis

      Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam. It provides a single source of all anti-spam models and algorithms based on the AIS that have been proposed by the author for the past decade in various journals and conferences.

      Inspired by the biological immune system, the AIS is an adaptive system based on theoretical immunology and observed immune functions, principles, and models for problem solving. Among the variety of anti-spam techniques, the AIS has been highly effective and is becoming one of the most important methods to filter spam. The book also focuses on several key topics related to the AIS, including:

      • Extraction methods inspired by various immune principles

        Table of Contents

        Anti-Spam Technologies. Artificial Immune System. Term Space Partition-Based Feature Construction Approach. Immune Concentration-Based Feature Construction Approach. Local Concentration-Based Feature Extraction Approach. Multi-Resolution Concentration-Based Feature Construction Approach. Adaptive Concentration Selection Model. Variable Length Concentration-Based Feature Construction Method. Parameter Optimization of Concentration-Based Feature Construction Approaches. Immune Danger Theory-Based Ensemble Method. Immune Danger Zone Principle-Based Dynamic Learning Method. Immune-Based Dynamic Updating Algorithm. AIS-Based Spam Filtering System and Implementation.

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