As an important basis for network management, effective network measurement is critical for
improving network performance and security. As an efficient tool for network measurement …

The development of the industrial Internet of Things enables industrial control systems to
become inter-networked and inter-connected, making them intelligent with high productivity …

As it is happening in many fields that need efficient and effective classification of data,
Machine Learning (ML) is becoming increasingly popular in network management and …

Distributed Denial of Service (DDoS) attacks have posed severe threats to the Internet.
Although researchers have proposed many DDoS detection schemes, there are still some …

Host cardinality estimation is one crucial task in network traffic measurement. Super host is
the host that exhibits anomalies in host cardinality and it is usually related to network …

High-accuracy real-time data stream estimations are critical for various applications, and
sliding-window-based techniques have attracted wide attention. However, existing solutions …

The empirical Shannon entropy is a popular metric for anomaly detection in network traffic.
However, computing its exact value in real time requires fast access to a large number of …

The empirical entropy is used in network traffic monitoring and classification to detect
anomalous events and manage network resources. Computing the entropy of high-speed …

Super nodes with large cardinalities remain serious threats to production networks. Super
node identification is significant for network security and management, including network …

In network measurement, sliding window measurement has the advantage of providing
recent and timely measurement results. Recently, sketches have become the most popular …