In many distributed environments, the primary function of monitoring software is to detect anomalies, that is, instances when system behavior deviates substantially from the norm....
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Raje...
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
Detecting network path anomalies generally requires examining large volumes of traffic data to find misbehavior. We observe that wide-area services, such as peerto-peer systems an...
Ming Zhang, Chi Zhang, Vivek S. Pai, Larry L. Pete...
Worms are arguably the most serious security threat facing the Internet. Seeking a detection technique that is both sufficiently efficient and accurate to enable automatic conta...
David Whyte, Evangelos Kranakis, Paul C. van Oorsc...