In the last years, the ever increasing number of network attacks has brought the research
attention to the design and development of effective anomaly detection systems. To this aim …

The design of anomaly detection (AD) methods for network traffic has been intensively
investigated by the research community in recent years. However, less attention has been …

The increasing number of network attacks causes growing problems for network operators
and users. Thus, detecting anomalous traffic is of primary interest in IP networks …

In recent years, computer networks have become more and more advanced in terms of size,
applications, complexity and level of heterogeneity. Moreover, availability and performance …

Detecting anomalies accurately is fundamental to rapid diagnosis and repair of problems.
This paper proposes a novel Anomaly detection system based on the comparison of real …

We investigate an automatic and dynamic parameter tuning of a statistical method for
detecting anomalies in network traffic (this tuning is referred to as parameter learning) …

We consider the problem of efficient on-line anomaly detection in computer network traffic.
The problem is approached statistically, as that of sequential (quickest) changepoint …

The effects of network attacks may result in abrupt changes in network traffic parameters.
The speedy identification of these changes is critical for smooth network operation. This …

This paper presents a method of detecting network anomalies by analyzing the abrupt
change of time series data obtained from Management Information Base (MIB) variables …

In computer networks, large scale attacks in their final stages can readily be identified by
observing very abrupt changes in the network traffic, but in the early stage of an attack, these …