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• W2139606440 abstract "Model-based intrusion detection and knowledge discovery are combined to cluster and classify P2P botnet traffic and other malignant network activity by using a self-organizing map (som) self-trained on denied Internet firewall log entries. The SOM analyzed new firewall log entries in a case study to classify similar network activity, and discovered previously unknown local P2P bot traffic and other security issues." @default.
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• W2139606440 date "2009-03-01" @default.
• W2139606440 modified "2023-09-27" @default.
• W2139606440 title "A self-organizing map and its modeling for discovering malignant network traffic" @default.
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• W2139606440 doi "https://doi.org/10.1109/cicybs.2009.4925099" @default.
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