The rapid evolution of technology has led to the generation of high dimensional data
streams in a wide range of fields, such as genomics, signal processing, and finance. The …

The multivariate approach based on Principal Component Analysis (PCA) for anomaly
detection received a lot of attention from the networking community one decade ago, mainly …

Detecting anomalous traffic is a critical task for advanced Internet management. Many
anomaly detection algorithms have been proposed recently. However, constrained by their …

Network operators need effective tools to quickly detect anomalies in traffic data for
identifying network attacks. In contrast to traditional Internet, anomaly detection in IoT …

Broadband connectivity and mobile technology have been widely applied in the world. With
these advanced technologies, the proliferation of smart devices and their applications by …

An unauthorized activity on the network is called network intrusion and device or software
application which monitors the network parameters in order to detect such an intrusion is …

Accurate and timely network traffic measurement is essential for network status monitoring,
network fault analysis, network intrusion detection, and network security management. With …

Detecting anomalous traffic is a crucial task of managing networks. Many anomaly detection
algorithms have been proposed recently. However, constrained by their matrix-based traffic …

This work discusses an approach for capturing and translating isolated gestures of American
Sign Language into spoken and written words. The instrumented part of the system …

Existing data-driven methods for traffic anomaly detection are modeled on taxi trajectory
datasets. The concern is that the data may contain much inaccuracy about the actual traffic …