The proposed approach provides a flexible framework for preferential flow sampling that can effectively balance the tradeoff between the volume of the processed�...

A new flow-based sampling technique that focuses on the selection of small flows, which are usually the source of malicious traffic, is introduced and�...

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This paper presents research in the area of improving Network Anomaly Detection effectiveness by using Network Anomaly Detection Methods in.

2014. Improving network anomaly detection via selective flow-based sampling. G ... 2014. Intelligent flow-based sampling for effective network anomaly detection.

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

Improving network anomaly detection via selective flow-based sampling. G. Androulidakis, S. Papavassiliou. 2008, IET Communications. Connected Papers � S2 logo�...

In this paper, we present an adaptive, feature-aware sampling technique that reduces the loss of information bounded with the sampling process, thus minimizing�...

In this article the emphasis is placed on the evaluation of the impact of intelligent flow sampling techniques on the detection and classification of�...

This study investigates the use of an artificial neural network (ANN)-based classifier to improve the accuracy of flow-based anomaly detection in sampled�...