Towards intrusion detection by information retrieval and genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Kromer:2010:IAS,

• author = "Pavel Kromer and Jan Platos and Vaclav Snasel and Ajith Abraham",
• title = "Towards intrusion detection by information retrieval and genetic programming",
• booktitle = "Sixth International Conference on Information Assurance and Security (IAS 2010)",
• year = "2010",
• month = "23-25 " # aug,
• pages = "112--117",
• abstract = "Fuzzy classifiers and fuzzy rules are powerful tools in data mining and knowledge discovery. In this work, intrusion detection is approached as a data mining task and genetic programming is deployed to evolve fuzzy classifiers for detection of intrusion and security problems. We train the fuzzy classifier on a data set modelled as a fuzzy information retrieval collection and investigate its ability to detect illegitimate actions. Proposed approach is experimentally evaluated on the popular KDD Cup intrusion detection data set.",
• keywords = "genetic algorithms, genetic programming, KDD Cup intrusion detection data set, data mining, fuzzy classifier, fuzzy rule, information retrieval, knowledge discovery, data mining, fuzzy set theory, information retrieval, pattern classification, security of data",
• DOI = "doi:10.1109/ISIAS.2010.5604063",
• notes = "Also known as \cite{5604063}",

}

Genetic Programming entries for Pavel Kromer Jan Platos Vaclav Snasel Ajith Abraham

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