An iterative ellipsoid-based anomaly detection technique for intrusion detection systems

Intrusion detection datasets play a major role in evaluating machine learning techniques for Intrusion Detection Systems. The Intrusion detection datasets are generally very large and contain many noncontributing features and redundant data. These drawbacks lead to inaccurate intrusion detection and...

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Bibliographische Detailangaben

1. Verfasser:	Suthaharan, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy anomaly detection Approximation methods Ellipsoids Feature extraction Intrusion detection KDD'99 dataset Kernel Machine learning NSL-KDD dataset
Online-Zugang:	Volltext bestellen
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