Sampling has become an essential component of scalable Internet traffic monitoring and
anomaly detection. A new flow-based sampling technique that focuses on the selection of …

Sampling has become an essential component of scalable Internet traffic monitoring and
anomaly detection. In this paper, the emphasis is placed on the evaluation of the impact of …

With increasing amount of network traffic, sampling techniques have become widely
employed allowing monitoring and analysis of high-speed network links. Despite of all …

Sampling techniques are widely employed in high-speed network traffic monitoring to allow
the analysis of high traffic volumes with limited resources. Sampling has measurable …

Outlier detection is of considerable interest in fields such as physical sciences, medical
diagnosis, surveillance detection, fraud detection and network anomaly detection. The data …

In this article the emphasis is placed on the evaluation of the impact of intelligent flow
sampling techniques on the detection and classification of network anomalies. Based on the …

This paper develops parametric methods to detect network anomalies using only aggregate
traffic statistics, in contrast to other works requiring flow separation, even when the anomaly …

Anomaly detection in network traffic is becoming a challenging task due to the complexity of
large-scale networks and the proliferation of various social network applications. In the …

Real-time Anomaly Detection Systems (ADSs) use packet sampling to realize traffic analysis
at wire speeds. While recent studies have shown that a considerable loss of anomaly …

With the ever increasing deployment and usage of gigabit networks, traditional network
anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly …