Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

The shared nature of the medium in wireless networks makes it easy for an adversary to
launch a Wireless Denial of Service (WDoS) attack. Recent studies, demonstrate that such …

With the rapid rise in the ubiquity and sophistication of Internet technology and the
accompanying growth in the number of network attacks, network intrusion detection has …

This paper is focused on detecting and analyzing the Distributed Denial of Service (DDoS)
attacks in cloud computing environments. This type of attacks is often the source of cloud …

Abnormal event detection is a critical component of intelligent surveillance systems, focusing
on identifying abnormal objects or unusual human behaviours in video sequences …

The paper presents a revolutionary framework for the modeling, detection, characterization,
identification, and machine-learning of anomalous behavior in observed phenomena arising …

In this letter, a reliable, simple, and intuitive approach for hyperspectral imagery (HSI)
anomaly detection (AD) is presented. This method, namely, the global iterative principal …

Abstract Self-Organizing Maps (SOMs) are among the most well-known, unsupervised
neural network approaches to clustering, which are very efficient in handling large and high …

Les méthodes de surveillance industrielle sont divisées en deux catégories: méthodes de
surveillance avec modèle formel de l'équipement, et méthodes de surveillance sans modèle …

We present intrusion detection algorithms to detect physical layer jamming attacks in
wireless networks. We compare the performance of local algorithms on the basis of the …