In this Chapter we give an overview of statistical methods for anomaly detection (AD),
thereby targeting an audience of practitioners with general knowledge of statistics. We focus …

In recent years, there are more and more abnormal activities in the network, which greatly
threaten network security. Hence, it is of great importance to collect the data which indicate …

We propose a push-based approach to network monitoring that allows the detection, within
the dataplane, of traffic aggregates. Notifications from the switch to the controller are sent …

Abstract Anomaly-based Intrusion Detection is a key research topic in network security due
to its ability to face unknown attacks and new security threats. For this reason, many works …

The Internet of Things (IoT) is regarded as the next generation worldwide network that
connects every necessary object to facilitate our daily life. Although it is only an abstract …

Location information is essential when dealing with Wireless Sensor Networks (WSNs). This
paper focuses on the error analysis of range–based localisation algorithms in WSNs. The …

In the current enterprise data enter networking environment, a major hurdle in the
development of network security is the lack of an orchestrated and resilient defensive …

This paper explores the segmentation of monitoring space that is generated by binary
pyroelectric sensors and reference structure. Each segment in the monitoring space is …

The diffusion of technologies for high speed data transmission over the Internet and the
growing employment of new multimedia services require fast and effective techniques for the …

High level goals such as bandwidth provisioning, accounting and network anomaly
detection can be easily met if high-volume traffic clusters are detected in real time. This …