Distributed denial-of-service (DDoS) attacks are constantly evolving as the computer and
networking technologies and attackers' motivations are changing. In recent years, several …

Pattern recognition (PR) is the study of how machines can examine the environment, learn
to distinguish patterns of interest from their background, and make reliable and feasible …

A realistic and comprehensive review of joint approaches to machine learning and signal
processing algorithms, with application to communications, multimedia, and biomedical …

Using machine learning techniques to detect network intrusions is an important topic in
cybersecurity. A variety of machine learning models have been designed to help detect …

Road anomaly detection aims to find a small group of roads that are exceptional with respect
to the rest of the physical links in a transportation network, posing great challenges for …

Internet traffic classification plays a crucial role in Quality of Experience (QoE), Quality of
Services (QoS), intrusion detection, and traffic-trend analyses. While there is no theoretical …

Software defined network (SDN) is a promising new network abstraction that aims to
improve and facilitate network management. Due to its centralized architecture and the lack …

The ever-lasting challenge of detecting and mitigating failures in computer networks has
become more essential than ever; especially with the enormous number of smart devices …

This paper presents a self-adaptive root cause diagnosis framework, named MS-Rank, to
analyze multiple metrics collected from micro-service architecture. MS-Rank decomposes …