A Multiobjective Evolutionary Algorithm for spam e-mail filtering

A.G. López‐Herrera; Enrique Herrera‐Viedma; Francisco Herrera

doi:10.1109/iske.2008.4730957

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JOURNAL ARTICLE

A Multiobjective Evolutionary Algorithm for spam e-mail filtering

A.G. López‐Herrera Enrique Herrera‐Viedma Francisco Herrera

Year: 2008 Pages: 366-371

DOI: 10.1109/iske.2008.4730957

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Abstract

Unsolicited commercial email, also known as spam, has been a major problem on the Internet. In this paper a well known multiobjective evolutionary Algorithm, NSGA-II, is first time used for spam e-mail filtering. NSGA-II is adapted to use Genetic Programming components to achieve a set of filtering rules with different profiles.

Keywords:

Computer science Genetic programming Genetic algorithm Set (abstract data type) Evolutionary algorithm The Internet Evolutionary computation Electronic mail Multi-objective optimization Algorithm Data mining Artificial intelligence Machine learning World Wide Web

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Topics

Spam and Phishing Detection

Physical Sciences → Computer Science → Information Systems

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Algorithms and Data Compression

Physical Sciences → Computer Science → Artificial Intelligence

A Multiobjective Evolutionary Algorithm for spam e-mail filtering

Abstract

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Citation History

Topics

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