DADICC is the abbreviated name for an intelligent system able to detect on-line and diagnose anomalies as soon as possible in the dynamic evolution of the behaviour of a power pla...
This paper deals with a new iterative Network Anomaly Detection Algorithm – NADA, which accomplishes the detection, classification and identification of traffic anomalies. NADA f...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
— Automated detection of anomalies in network traffic is an important and challenging task. In this work we propose an automated system to detect volume-based anomalies in netwo...
There are several remaining open questions in the area of flow-based anomaly detection, e.g., how to do meaningful evaluations of anomaly detection mechanisms; how to get conclusi...
In this work we develop an approach for anomaly detection for large scale networks such as that of an enterprize or an ISP. The traffic patterns we focus on for analysis are that...