A Dynamic Anomaly Detection Model for Web User Behavior Based on HsMM

Abstract

It is difficult for the existing anomaly detection methods to distinguish the burst of normal traffic from the anomalous traffic in a large-scale Web site. This paper uses hidden semi-Markov model to describe the browsing behaviors of Web users. An efficient recursive algorithm for this model is presented for the online implementation of model update, which… (More)
DOI: 10.1109/CSCWD.2006.253054

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