Active learning for network intrusion detection

Article, Contribution for newspaper or weekly magazine English OPEN
Nico Görnitz; Marius Kloft; Konrad Rieck; Ulf Brefeld;

<p>Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere enclosing network data, mapped to a vector space, such that points outside of the ball a... View more
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