: Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown...
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
While many researches of Host Anomaly Detection System using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research und...
This paper introduces the problems associated with anomaly detection in a marine engine, and explains the benefits that the SAX representation brings to the field. Despite limita...
Ian Morgan, Honghai Liu, George Turnbull, David J....
In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...