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Practical Comparison Between Genetic Algorithm and Clonal Selection Theory on KDD Dataset
- Source :
- Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 7, Iss 3, Pp 121-140 (2010)
- Publication Year :
- 2010
- Publisher :
- Mosul University, 2010.
-
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.
- Subjects :
- Computer science
intrusion detection
lcsh:Mathematics
General Medicine
Intrusion detection system
computer.software_genre
lcsh:QA1-939
lcsh:QA75.5-76.95
clonal selection theory
Genetic algorithm
genetic algorithm
Data mining
lcsh:Electronic computers. Computer science
kdd data
computer
Clonal selection
Subjects
Details
- Language :
- Arabic
- ISSN :
- 23117990 and 18154816
- Volume :
- 7
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Al-Rafidain Journal of Computer Sciences and Mathematics
- Accession number :
- edsair.doi.dedup.....741fc9495b9c6cfd65273781972c2a4e