Towards intrusion detection by information retrieval and genetic programming
Created by W.Langdon from
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- @InProceedings{Kromer:2010:IAS,
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author = "Pavel Kromer and Jan Platos and Vaclav Snasel and
Ajith Abraham",
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title = "Towards intrusion detection by information retrieval
and genetic programming",
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booktitle = "Sixth International Conference on Information
Assurance and Security (IAS 2010)",
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year = "2010",
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month = "23-25 " # aug,
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pages = "112--117",
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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.",
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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",
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DOI = "doi:10.1109/ISIAS.2010.5604063",
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notes = "Also known as \cite{5604063}",
- }
Genetic Programming entries for
Pavel Kromer
Jan Platos
Vaclav Snasel
Ajith Abraham
Citations