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CANS
2005
Springer
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Cryptology
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CANS 2005
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A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
14 years 4 months ago
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www.isot.ece.uvic.ca
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
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