Application of genetic optimized artificial immune system and neural networks in spam detection

Applied Soft Computing Journal

Volumn 11, Issue 4, 2011, Pages 3827-3845

  Mohammad, Adel Hamdan ^a   Zitar, Raed Abu ^b  

^a APPLIED SCIENCE PRIVATE UNIVERSITY   (Jordan)

^b NEW YORK INSTITUTE OF TECHNOLOGY   (Jordan)

Author keywords

Genetic algorithm; Immune system; Spam

Indexed keywords

ADAPTIVE WEIGHTING; ARTIFICIAL IMMUNE SYSTEM; ARTIFICIAL NEURAL NETWORK; COMPUTER USERS; CONTINUOUS LEARNING; CORE MODIFICATION; GENE FRAGMENTS; HUMAN IMMUNE SYSTEMS; IMMUNE SYSTEM; MACHINE LEARNING METHODS; NETWORK BANDWIDTH; SPAM; SPAM DETECTION; USER-DEFINED PARAMETERS;

GENES; GENETIC ALGORITHMS; IMMUNOLOGY; INTERNET; LEARNING SYSTEMS; OPTIMIZATION; STANDARDS;

NEURAL NETWORKS;

EID: 79954607390     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.02.021     Document Type: Article

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