Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
Network attacks have become the fundamental threat to today's largely interconnected computer systems. Unauthorized activities and unauthorized access account for a large pro...
Abstract. It is commonly accepted that intrusion detection systems (IDS) are required to compensate for the insufficient security mechanisms that are available on computer systems...
We introduce a network-based problem detection framework for distributed systems, which includes a data-mining method for discovering dynamic dependencies among distributed servic...
This paper proposes a novel face detection method based on Principal Component Analysis (PCA) and Evolutionary Algorithm (EA). In a view-based approach to face detection, the face ...