Abstract--Network intrusion detection systems (NIDSs) monitor network traffic for suspicious activity and alert the system or network administrator. With the onset of gigabit netwo...
Abhishek Das, David Nguyen, Joseph Zambreno, Gokha...
The nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These me...
Laura Feinstein, Dan Schnackenberg, Ravindra Balup...
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...
With the growing popularity of anomaly detection systems, which is due partly to the rise in zero-day attacks, a new class of threats have evolved where the attacker mimics legiti...
Heart sound is one of the significant bio-signals to diagnose certain cardiac anomalies. Aiming to provide an automatic heart sounds analysis to medical professionals, we present...
Dinesh Kumar, Paulo Carvalho, Manuel Antunes, Rui ...