In recent years, machine learning models have used data from Hardware Performance
Counters (HPCs) proposed to combat Distributed Denial of Service (DDoS). Several models …

Network traffic in HPC systems can impact application performance by inducing costly re-
transmissions or consuming memory bandwidth. Emerging SmartNIC technologies present …

In this research, we explore a data analytics based approach for modeling and visualizing
attack behaviors. To this end, we employ Self-Organizing Map and Association Rule Mining …

Malware is a major threat to present-day computing systems. With the rapid growth of
Internet of Things (IoT) devices and their usage in safety critical systems, security has …

With the rapid proliferation of IoT devices and its growing usage in safety-critical systems,
securing these devices from malicious attacks has become increasingly challenging. Due to …

随着各种任务交由计算机系统或移动设备处理, 大量应用软件走进人们的生活,
与之而来的是恶意软件越来越多. 对此, 主流的恶意软件检测技术弊端凸显 …

Cyber-attacks are on the rise, becoming more sophisticated as technology advances and
negatively impacting people as well organisations globally. Advanced approaches to …

Rapid and accurate anomaly traffic detection is one of the most important research problems
in cyberspace situational awareness. In order to improve the accuracy and efficiency of the …

Abstract Distributed Denial of Service (DDoS) attacks have become a critical threat to the
Web with the increase in web-based transactions and application services offered by the …

High-performance computing (HPC) ecosystems plays a pivotal role in unlocking and
mobilizing research and innovations in society, science, engineering, technology, business …