The use of computational intelligence in intrusion detection systems: A review
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- @Article{Wu20101,
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author = "Shelly Xiaonan Wu and Wolfgang Banzhaf",
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title = "The use of computational intelligence in intrusion
detection systems: A review",
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journal = "Applied Soft Computing",
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volume = "10",
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number = "1",
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pages = "1--35",
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year = "2010",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2009.06.019",
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URL = "http://www.sciencedirect.com/science/article/B6W86-4WV15J9-1/2/07117ede6d9ef58ed75bf405560da6d9",
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keywords = "genetic algorithms, genetic programming, Survey,
Intrusion detection, Computational intelligence,
Artificial neural networks, Fuzzy systems, Evolutionary
computation, Artificial immune systems, Swarm
intelligence, Soft computing",
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abstract = "Intrusion detection based upon computational
intelligence is currently attracting considerable
interest from the research community. Characteristics
of computational intelligence (CI) systems, such as
adaptation, fault tolerance, high computational speed
and error resilience in the face of noisy information,
fit the requirements of building a good intrusion
detection model. Here we want to provide an overview of
the research progress in applying CI methods to the
problem of intrusion detection. The scope of this
review will encompass core methods of CI, including
artificial neural networks, fuzzy systems, evolutionary
computation, artificial immune systems, swarm
intelligence, and soft computing. The research
contributions in each field are systematically
summarized and compared, allowing us to clearly define
existing research challenges, and to highlight
promising new research directions. The findings of this
review should provide useful insights into the current
IDS literature and be a good source for anyone who is
interested in the application of CI approaches to IDSs
or related fields.",
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notes = "brief mention of GP",
- }
Genetic Programming entries for
Shelly Xiaonan Wu
Wolfgang Banzhaf
Citations