Anti-spam techniques based on artificial immune system. (2016)

• Record Type: Book
• Further Information: Note: Ying Tan.
• Authors: Tan, Ying, 1964-
• Contents: Anti-Spam Technologies; Spam Problem; Prevalent Anti-Spam Technologies; Email Feature Extraction Approaches; Email Classification Techniques; Performance Evaluation and Standard Corpora; Summary; ; Artificial Immune System; Introduction; Biological Immune System; Artificial Immune System; Applications of AIS in Anti-Spam; Summary; ; Term Space Partition-Based Feature Construction Approach; Motivation; Principles of the TSP Approach; Implementation of the TSP Approach; Experiments; Summary; ; Immune Concentration-Based Feature Construction Approach; Introduction; Diversity of Detector Representation in AIS; Motivation of Concentration-Based Feature; Overview of Concentration-Based Feature; Gene Library Generation; Concentration Vector Construction; Relation to Other Methods; Complexity Analysis; Experimental Validation; Discussion; Summary; ; Local Concentration-Based Feature Extraction Approach; Introduction; Structure of Local Concentration Model; Term Selection and Detector Sets Generation; Construction of Local Concentration-Based Feature Vectors; Strategies for Defining Local Areas; Analysis of Local Concentration Model; Experimental Validation; Summary; ; Multi-Resolution Concentration-Based Feature Construction Approach; Introduction; Structure of Multi-Resolution Concentration Model; Multi-Resolution Concentration-Based Feature Construction Approach; Weighted Multi-Resolution Concentration-Based Feature Construction Approach; Experimental Validation; Summary; ; Adaptive Concentration Selection Model; Overview of Adaptive Concentration Selection Model; Setup of Gene Libraries; Construction of Feature Vectors Based on Immune Concentration; Implementation of Adaptive Concentration Selection Model; Experimental Validation; Summary; ; Variable Length Concentration-Based Feature Construction Method; Introduction; Structure of Variable Length Concentration Model; Experimental Parameters and Setup; Experimental Results on the VLC Approach; Discussion; Summary; ; Parameter Optimization of Concentration-Based Feature Construction Approaches; Introduction; Local Concentration-Based Feature Extraction Approach; Fireworks Algorithm; Parameter Optimization of Local Concentration Model for Spam Detection by Using Fireworks Algorithm; Experimental Validation; Summary; ; Immune Danger Theory-Based Ensemble Method; Introduction; Generating Signals; Classification Using Signals; Self-Trigger Process; Framework of DTE Model; Analysis of DTE Model; Filter Spam Using the DTE Model; Summary; ; Immune Danger Zone Principle-Based Dynamic Learning Method; Introduction; Global Learning and Local Learning; Necessity of Building Hybrid Models; Multi-Objective Learning Principles; Strategies for Combining Global Learning and Local Learning; Local Trade-Off between Capacity and Locality; Hybrid Model for Combining Models with Varied Locality; Relation to Multiple Classifier Combination; Validation of the Dynamic Learning Method; Summary; ; Immune-Based Dynamic Updating Algorithm; Introduction; Backgrounds of SVM and AIS; Principles of EM-Update and Sliding Window; Implementation of Algorithms; Filtering Spam Using the Dynamic Updating Algorithms; Discussion; Summary; ; AIS-Based Spam Filtering System and Implementation; Introduction; Framework of AIS-Based Spam Filtering Model; Postfix-Based Implementation; User Interests-Based Parameter Design; User Interaction; Test and Analysis; Summary
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2016
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 004.692; Spam filtering (Electronic mail); Electronic mail systems -- Security measures; Spam (Electronic mail)
• Languages: English
• ISBNs: 9781498725194
• Related ISBNs: 9781498725187
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.