Abstract— A clear deficiency in most of todays Anomaly Intrusion Detection Systems (AIDS) is their inability to distinguish between a new form of legitimate normal behavior and ...
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Requirements for a traffic monitoring system can be very demanding as both privacy and performance aspects have to be taken into account jointly. Moreover, the legislation sets fo...
Software researchers have already developed static code security checkers to parse through and scan source code files, looking for security vulnerabilities [8, 9]. What about exec...
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...