Filtering Techniques for Rapid User Classification

摘要: In the computer security task of anomaly detection, we wish to measure not only classification accuracy a detector but also average time detection. This quantity represents either between false alarms (for valid user) or until hostile user is detected. We examine use noise suppression filters as componants learning system for this domain. empirically evalute behaviors trailing window mean value filter and median in terms both find that generally be preferred