Anti-Spam Techniques Based on Artificial Immune System

Ying Tan

  • 出版商: CRC
  • 出版日期: 2024-01-31
  • 售價: $3,010
  • 貴賓價: 9.5$2,860
  • 語言: 英文
  • 頁數: 384
  • 裝訂: Paperback
  • ISBN: 1138894214
  • ISBN-13: 9781138894211
  • 海外代購書籍(需單獨結帳)

商品描述

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
  • Construction approaches based on several concentration methods and models
  • Classifiers based on immune danger theory
  • The immune-based dynamic updating algorithm
  • Implementing AIS-based spam filtering systems

The book also includes several experiments and comparisons with state-of-the-art anti-spam techniques to illustrate the excellent performance AIS-based anti-spam techniques.

Anti-Spam Techniques Based on Artificial Immune System gives practitioners, researchers, and academics a centralized source of detailed information on efficient models and algorithms of AIS-based anti-spam techniques. It also contains the most current information on the general achievements of anti-spam research and approaches, outlining strategies for designing and applying spam-filtering models.

商品描述(中文翻譯)

電子郵件已成為日常生活中不可或缺的溝通工具。然而,大量的垃圾郵件浪費資源,干擾工作效率,並對電腦系統安全和個人隱私構成嚴重威脅。本書介紹了基於人工免疫系統(AIS)的反垃圾郵件技術研究,以識別和過濾垃圾郵件。它提供了作者在過去十年中在各種期刊和會議上提出的所有基於AIS的反垃圾郵件模型和算法的單一來源。

受生物免疫系統的啟發,AIS是一個基於理論免疫學和觀察到的免疫功能、原則和模型的適應性系統,用於解決問題。在眾多反垃圾郵件技術中,AIS已經取得了很高的效果,並成為過濾垃圾郵件的最重要方法之一。本書還專注於AIS相關的幾個關鍵主題,包括:

- 受多種免疫原則啟發的提取方法
- 基於多種濃度方法和模型的構建方法
- 基於免疫危險理論的分類器
- 基於免疫的動態更新算法
- 實施基於AIS的反垃圾郵件過濾系統

本書還包括幾個實驗和與最先進的反垃圾郵件技術的比較,以展示基於AIS的反垃圾郵件技術的優異性能。

《基於人工免疫系統的反垃圾郵件技術》為從業人員、研究人員和學者提供了一個集中的詳細信息來源,關於AIS基礎反垃圾郵件技術的高效模型和算法。它還包含了關於反垃圾郵件研究和方法的最新信息,概述了設計和應用垃圾郵件過濾模型的策略。