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Computational and Ambient Intelligence
This paper reviews one nonlinear and two linear projection architectures, in the context of a comparative study, which are used as either alternative or complementary tools in the identification and analysis of anomalous situations by Intrusion Detection Systems (IDSs). Three neural projection models are empirically compared, using real traffic data sets in an IDS framework. The specific multivariate data analysis techniques that drive these models are able to identify different factors ordoi:10.1007/978-3-540-73007-1_138 dblp:conf/iwann/HerreroCGZ07 fatcat:zcv6svh6u5agplmi36e3n5cq2i