DocumentCode
3466111
Title
Data Mining Techniques for Semi-automatic Signature Generation
Author
Tylman, Wojciech
Author_Institution
Wroclaw Univ. of Technol., Wroclaw, Poland
fYear
2009
fDate
June 30 2009-July 2 2009
Firstpage
210
Lastpage
217
Abstract
This paper presents a novel approach to the task of semi-automatic generation of signatures for misuse-based network intrusion detection. The presented approach is a part of a Basset system, a hybrid misuse-anomaly solution employing Bayesian networks. The signature generation part is intended to work with data received from the Bayesian network, in turn providing the network with signatures for novel attacks.
Keywords
belief networks; data mining; security of data; Basset system; Bayesian networks; data mining; network intrusion detection; semi-automatic signature generation; Application software; Artificial intelligence; Bayesian methods; Computer networks; Data mining; Engines; Intrusion detection; Open source software; Protection; Telecommunication traffic; Bayesian networks; data mining; intrusion detection; signature generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependability of Computer Systems, 2009. DepCos-RELCOMEX '09. Fourth International Conference on
Conference_Location
Brunow
Print_ISBN
978-0-7695-3674-3
Type
conf
DOI
10.1109/DepCoS-RELCOMEX.2009.24
Filename
5261009
Link To Document