Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset

Aldabagh, Najlaa Badie; Khalil, Mafaz Muhsin

doi:10.33899/csmj.2010.163917

	Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset
AL-Rafidain Journal of Computer Sciences and Mathematics
Article 10, Volume 7, Issue 3, 2010, Pages 121-140 PDF (571.07 K)
Document Type: Research Paper
DOI: 10.33899/csmj.2010.163917
Authors
Najlaa Badie Aldabagh¹; Mafaz Muhsin Khalil²
¹College of Computer Sciences and Mathematics
²College of science
Abstract
This paper compares between two models: Common Genetic algorithm and the new Clonal selection theory in the field of Intrusion Detection. Genetic algorithms (GA) which is a model of genetic evolution, while Clonal selection theory (CST) is from models of the natural immune system NIS, the two models are from two different fields of Artificial Intelligence AI but they have portion of shared operations and objectives. The comparison to be done by applying the two models on some records of Knowledge Discovery and Data mining tools which is known by the name KDD data sets (its records the data of the interring packets to the computer system from the internet), to produce population ( in case of GA) or antibodies (in case of CST) can recognize these abnormal records.
Keywords
genetic algorithm; Clonal selection theory; Intrusion Detection; KDD data

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