In this article we discuss the design and implementation of a real-time parallel anomaly
detection system. The key idea is to use multiple existing anomaly detection algorithms in …

Detecting anomalies during the operation of a network is an important aspect of network
management and security. Recent development of high-performance embedded processing …

The growing hierarchical self organizing map (GHSOM) has been shown to be an effective
technique to facilitate anomaly detection. However, existing approaches based on GHSOM …

As the communication industry has connected distant corners of the globe using advances
in network technology, intruders or attackers have also increased attacks on networking …

Anomaly detection plays a crucial part in identifying unforeseen attacks for network and
information security. However, the accuracy of existing network anomaly detection …

Abstract Despite a Network Anomaly Detection System (NADS) being capable of detecting
existing and zero-day attacks, it is still not universally implemented in industry and real …

Anomaly extraction is an important problem essential to several applications ranging from
root cause analysis, to attack mitigation, and testing anomaly detectors. Anomaly extraction …

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 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 …

Proactive anomaly detection refers to anticipating anomalies or abnormal patterns within a
dataset in a timely manner. Discovering anomalies such as failures or degradations before …