Wireless sensors networks (WSNs) play an important role in life. With the development of
5G, its security issues have also raised concerns. Therefore, it is an important topic to study …

Network traffic anomalies can have a detrimental effect on end-to-end network performance
and reliability, compromising severely (demanding) services and applications, such as those …

The increase in mobile data traffic has imposed unprecedented pressure on wireless
network management. KPI-based anomaly diagnosis can alleviate such pressure by …

Communication architectures based on the Internet of Things (IoT) are increasingly frequent.
Commonly, these solutions are used to carry out control and monitoring activities. It is easy …

Mobile network operators store an enormous amount of information like log files that
describe various events and users' activities. Analysis of these logs might be used in many …

The identification of region of interests (ROIs) in wireless networks holds the potential to
resolve the challenging problems of resource allocation and network traffic prediction for …

Anomalous subgraph detection within networks is an important issue in many emerging
applications. Existing algorithms, such as graph structure methods and spectral feature …

It is critical to deal with high-dimensional anomaly detection for industrial data. Every year,
businesses report a rising tide of hacking events. Unfortunately, currently available systems …

The rapidly growing spatio-temporal correlated data in wireless networks provide a natural
platform for Integrated Sensing, Computation and Communication (ISCC). Random Matrix …