Self-adaptive and dynamic clustering for online anomaly detection


As recent Internet threats are evolving more rapidly than ever before, one of the major challenges in designing an intrusion detection system is to provide early and accurate detection of emerging threats. In this study, a novel framework is developed for fully unsupervised training and online anomaly detection. The framework is designed so that an initial… (More)
DOI: 10.1016/j.eswa.2011.05.058



Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 3 years.

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