Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …

The late detection of security threats causes a significant increase in the risk of irreparable
damages and restricts any defense attempt. In this paper, we propose a sCAlable TRAffic …

The software-defined networking (SDN) paradigm can allow network management solutions
to automatically and frequently reconfigure network resources. When developing SDN …

With the explosion of network traffic volume, high efficient and large-scale network traffic
anomaly detection methods becomes necessary. However, existing methods often fail to …

Abstract Internet of Things (IoT) refers to a system of interconnected heterogeneous smart
devices communicating without human intervention. A significant portion of existing IoT …

Highly efficient and dependable large-scale DDoS attack detection scheme is critical for
network anomaly detection. Typical machine learning algorithms such as Decision Tree and …

Security attacks have been increasingly common and cause great harm to people and
organizations. Late detection of such attacks increases the possibility of irreparable damage …

The big number of Internet of Things (IoT) devices, the lack of interoperability and the low
accessibility of many of them in a vast heterogenous landscape will make it very hard to …

Maximizing the production process in modern industry, as proposed by Industry 4.0, requires
extensive use of Cyber-Physical Systems (CbPS). Artificial intelligence technologies …

Monitoring plays a crucial role in the operation of any sizeable distributed IT infrastructure.
Whether it is a university network or cloud datacenter, monitoring information is continuously …