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HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
15 years 3 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
JSW
2007
138views more  JSW 2007»
14 years 9 months ago
Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
— The anomaly-based intrusion detection systems examine current system activity do find deviations from normal system activity. The present paper proposes a method for normal act...
Veselina G. Jecheva, Evgeniya P. Nikolova
GECCO
2005
Springer
183views Optimization» more  GECCO 2005»
15 years 3 months ago
802.11 network intrusion detection using genetic programming
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
Patrick LaRoche, A. Nur Zincir-Heywood
88
Voted
ICNC
2010
Springer
14 years 8 months ago
A hybrid intelligent early warning system for predicting economic crises: The case of China
—This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric models in one unified framework to form a hybrid intelligent early warning...
Dongwei Su, Xingxing He
DIMVA
2004
14 years 11 months ago
Alarm Reduction and Correlation in Intrusion Detection Systems
: Large Critical Complex Infrastructures are increasingly dependent on IP networks. Reliability by redundancy and tolerance are an imperative for such dependable networks. In order...
Tobias Chyssler, Stefan Burschka, Michael Semling,...