Network intrusion detection using fuzzy class association rule mining based on genetic network programming

Computer systems are exposed to an increasing number and type of security threats due to the expanding of Internet in recent years. How to detect network intrusions effectively becomes an important techniques. This paper presents a novel fuzzy class association rule mining method based on Genetic Ne...

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Veröffentlicht in:	2009 IEEE International Conference on Systems, Man and Cybernetics S. 60 - 67
Hauptverfasser:	Ci Chen, Mabu, S., Chuan Yue, Shimada, K., Hirasawa, K.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2009
Schlagworte:	Association rules class association rule mining Computer security Data mining Economic indicators fuzzy membership function Genetic algorithms Genetic Network Programming Genetic programming Internet Intrusion detection network intrusion detection Tree graphs
ISBN:	9781424427932, 1424427932
ISSN:	1062-922X
Online-Zugang:	Volltext
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