Fuzzy preference approach for computer network attack detection
Manic, M.
Wilamowski, B.
Coll. of Eng., Idaho Univ., Boise, ID;
This paper appears in: Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Publication Date: 2001
Volume: 2,
On page(s): 1345-1349 vol.2
Meeting Date: 07/15/2001 - 07/19/2001
Location: Washington, DC, USA
ISBN: 0-7803-7044-9
References Cited: 12
INSPEC Accession Number: 7024656
Digital Object Identifier: 10.1109/IJCNN.2001.939557
Current Version Published: 2002-08-07
Abstract
Irrepressible growth of complex interconnectedness of information
systems besides its obvious benefits unfortunately brought up the
questions of their vulnerability. Practically universal access to
computers has enabled hackers and would-be terrorists to attack
information systems and critical infrastructures worldwide. A fuzzy
preference relation, based on a fuzzy satisfaction function is applied
to a comparison of attack signatures. Fuzzy signatures (their gamma
resolution sets) are combined by fuzzy operators. Therefore, a
qualitative, fuzzy decision system is achieved. The proposed method
provided smoother results that obtained by traditional methods.
Experiments demonstrated that the final outcome depended on correct
determination of fuzzy values out of signature attacks, also on adequate
choice of fuzzy set operator
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