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Using Boolean AND and OR functions to combine the responses of multiple one- or two-class classifiers in the ROC space may significantly improve performance of a detection system over a single best classifier. However, techniques found in literature assume that the classifiers are conditionally independent, and that their ROC curves are convex. These assumptions are not valid in most real-world applications,...
In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have been shown to provide a high level performance for detecting anomalies in sequences of system calls to the operating system kernel. Although the number of hidden states is a critical parameter for HMM performance, it is often...
The manual signature-based authentication of a large number of documents is a laborious and time-consuming task. Consequently many off-line signature verification systems were recently developed. In this paper we propose a human-centric system, which exploits the synergy between human and machine capabilities, and show that this combined system can perform better (than humans or a machine) for almost...
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