Graphs are used widely to model complex systems, and detecting anomalies in a graph is
an important task in the analysis of complex systems. Graph anomalies are patterns in a …

The Darknet is a section of the internet that is encrypted and untraceable, making it a
popular location for illicit and illegal activities. However, the anonymity and encryption …

Graph neural network (GNN) with a powerful representation capability has been widely
applied to various areas. Recent works have exposed that GNN is vulnerable to the …

Internet of Things is rapidly changing the human lives to bring convenience in domestic,
public and industrial environments spanning across multiple application domains. At the …

With the increasingly intelligent services provided by the Internet, users' requirements are
further improved in communication quality. Real-time and accurate prediction of network …

Since its inception in 2009, Bitcoin has become and is currently the most successful and
widely used cryptocurrency. It introduced blockchain technology, which allows transactions …

This book provides a comprehensive theory of mono-and multi-fractal traffic, including the
basics of long-range dependent time series and 1/f noise, ergodicity and predictability of …

Detecting malicious activity using a network intrusion detection system (NIDS) is an ongoing
battle for the cyber defender. Increasingly, cyber-attacks are sophisticated and occur rapidly …

For the past few years, the Consumer Internet of Things (CIoT) has entered public lives.
While CIoT has improved the convenience of people's daily lives, it has also brought new …

With the increasing amount of devices connected to the huge net known as the internet, it is
not surprising the corresponding growth of cyber attacks. The era of the Internet of Things …