RT Conference Proceedings
T1 Fuzzy logic on decision model for IDS
A1 Orfila, Agustín
A1 Carbó Rubiera, Javier Ignacio
A1 Ribagorda Garnacho, Arturo
AB Nowadays one of the main problems of Intrusion Detection Systems (IDS) is the high rate of false positives that they show. The number of alerts that an IDS launches are clearly higher than the number of real attacks. This paper tries to introduce a measure of the IDS prediction skill in close relationship with these false positives. So the prediction skill of an IDS is then computed according to the false positives produced. The problem faced is how to make an accurate prediction from the results of different IDS. The fraction of IDS over the total number of them that predicts a given event will determine whether such event is predicted or not. The performance obtained from the application of fuzzy thresholds over such fraction is compared with the corresponding crisp thresholds. The results of these comparisons allow us to conclude a relevant improvement when fuzzy thresholds are involved.
PB IEEE
SN 0-7803-7810-5
YR 2003
FD 2003-05
LK https://hdl.handle.net/10016/9576
UL https://hdl.handle.net/10016/9576
LA eng
NO Proceeding of: The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03. Sunday 25 May - Wednesday 28 May, 2003, St. Louis, Missouri, USA
DS e-Archivo
RD 30 jun. 2024