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- W1639409077 abstract "In this paper, we review a visual approach and propose it for analysing computer-network activity, which is based on the use of unsupervised connectionist neural network models and does not rely on any previous knowledge of the data being analysed. The presented Intrusion Detection System (IDS) is used as a method to investigate the traffic which travels along the analysed network, detecting SNMP (Simple Network Management Protocol) anomalous traffic patterns. In this paper we have focused our attention on the study of anomalous situations generated by a MIB (Management Information Base) information transfer." @default.
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- W1639409077 date "2005-01-01" @default.
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- W1639409077 title "An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending" @default.
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- W1639409077 doi "https://doi.org/10.1007/11539087_103" @default.
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