Towards intrusion detection by information retrieval and genetic programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86085030" target="_blank" >RIV/61989100:27240/10:86085030 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ISIAS.2010.5604063" target="_blank" >http://dx.doi.org/10.1109/ISIAS.2010.5604063</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISIAS.2010.5604063" target="_blank" >10.1109/ISIAS.2010.5604063</a>
Alternative languages
Result language
angličtina
Original language name
Towards intrusion detection by information retrieval and genetic programming
Original language description
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 intrusionand security problems. We train the fuzzy classifier on a data set modeled 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F420" target="_blank" >FR-TI1/420: *Integrated software system for optimalization and control of technological processes and prediction of production quality for large technological complexes with use of advanced mathematic method, simulation and artificial intelligence.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2010 6th International Conference on Information Assurance and Security, IAS 2010
ISBN
978-1-4244-7408-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
112 - 117
Publisher name
IEEE
Place of publication
Piscataway
Event location
Atlanta
Event date
Aug 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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