Title :
Data Mining Techniques for Semi-automatic Signature Generation
Author :
Tylman, Wojciech
Author_Institution :
Wroclaw Univ. of Technol., Wroclaw, Poland
fDate :
June 30 2009-July 2 2009
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;
Conference_Titel :
Dependability of Computer Systems, 2009. DepCos-RELCOMEX '09. Fourth International Conference on
Conference_Location :
Brunow
Print_ISBN :
978-0-7695-3674-3
DOI :
10.1109/DepCoS-RELCOMEX.2009.24
