Current network monitoring systems rely strongly on signa-ture-based and supervised-
learning-based detection methods to hunt out network attacks and anomalies. Despite being …

Network anomaly detection has been a hot research topic for many years. Most detection
systems proposed so far employ a supervised strategy to accomplish the task, using either …

Anomaly detection has become a vital component of any network in today's Internet.
Ranging from non-malicious unexpected events such as flash-crowds and failures, to …

Network anomaly detection is a critical aspect of network management for instance for QoS,
security, etc. The continuous arising of new anomalies and attacks create a continuous …

Most traditional network anomalies and attacks detection systems tend to employ supervised
strategies, which require labeled training dataset that is arduous and expensive to obtain …

Nowadays, network intrusion detectors mainly rely on knowledge databases to detect
suspicious traffic. These databases have to be continuously updated which requires …

Network anomalies and attacks represent a serious challenge to ISPs, who need to cope
with an increasing number of unknown events that put their networks' integrity at risk. Most of …

The dramatic increase in devices and services that has characterized modern societies in
recent decades, boosted by the exponential growth of ever faster network connections and …

Multiple network-wide anomaly detection techniques proposed in the literature define an
anomaly as a statistical outlier in aggregated network traffic. The most popular way to …

Today's Internet and enterprise networks are so popular as they can easily provide
multimedia and e-commerce services to millions of users over the Internet in our daily lives …