Intrusion detection: a novel approach that combines boosting genetic fuzzy classifier and data mining techniques

Intrusion detection: a novel approach that combines boosting genetic fuzzy classifier and data mining techniques

Author(s):

Ozyer, T. ( Univ. of Calgary (Canada) )
Alhajj, R. ( Univ. of Calgary (Canada) )
Barker, K. ( Univ. of Calgary (Canada) )

Publication title:

Data mining, intrusion detection, information assurance, and data networks security 2005 : 28-29 March, 2005, Orlando, Florida, USA

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

5812

Pub. Year:

2005

Page(from):

13

Page(to):

22

Pages:

10

Pub. info.:

Bellingham, Wash.: SPIE - The International Society of Optical Engineering

ISSN:

0277786X

ISBN:

9780819457974 [0819457973]

Language:

English

Call no.:

P63600/5812

Type:

Conference Proceedings

Details

TDL ID:	ZA00015045
Series ID:	PA00000029
Conf. info. (Name):	Defense, Security, and Sensing : Data mining, intrusion detection, information assurance, and data networks security
Conf. info. (Number):	2005
Conf. info. (Venue):	Orlando, FL, USA
Conf. info. (Date):	2005.03.28-2005.03.29

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