Title
A New Algorithm for On-Line Multivariate ARMA Identification Using Multimodel Partitioning Theory
Abstract
In this paper a network Intrusion Detection SystemUsing Evolutionary Neural Networks (ENN's) is proposed. Theanalysis engine of the IDS is modeled by the ENN and its abilityto predict attacks in a network environment is evaluated. TheENN is trained by ...
Year
DOI
Venue
2008
10.1109/PCI.2008.24
Panhellenic Conference on Informatics
Keywords
Field
DocType
network environment,multimodel partitioning theory,theanalysis engine,evolutionary neural networks,on-line multivariate arma identification,network intrusion detection systemusing,new algorithm,parameter estimation,mathematical model,arma model,computational modeling,signal processing,kalman filters,state space,kalman filter,adaptive,order estimation
Signal processing,Autoregressive–moving-average model,Computer science,State-space representation,Algorithm,Kalman filter,Gaussian,Adaptive algorithm,Estimation theory,Lambda
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
5