The ever-escalating prevalence of malware is a serious cybersecurity threat, often requiring
advanced post-incident forensic investigation techniques. This paper proposes a framework …

This study delves into the intricacies of AI-based threat detection in Kubernetes security, with
a specific focus on its role in identifying anomalous behavior. By harnessing the power of AI …

The increasing sophistication of modern cyber threats, particularly file-less malware relying
on living-off-the-land techniques, poses significant challenges to traditional detection …

Windows represents the most common platform found in seized computers due to its
widespread presence. This disparity has become worse due to the introduction of Microsoft's …

Cyber-Physical Systems (CPS) seamlessly integrate computers, networks, and physical
devices, enabling machines to communicate, process data, and respond to real-world …

Cyber timeline analysis or Forensic timeline analysis is critical in Digital Forensics and 1
Incident Response (DFIR) investigations. It involves examining artefacts and events …

The proliferation of Internet of Things (IoT) devices has introduced new challenges for digital
forensic investigators due to their diverse architectures, communication protocols, and …

This research presents machine learning models for forecasting the future returns of a
portfolio from NASDAQ semiconductors assets by financial analysis, optimization, and …

This work seeks to evaluate how ML and GAI could be integrated into the cloud computing
model with an effort of optimizing the use of resources, minimizing energy consumption and …

The increasing sophistication of modern cyber threats, particularly file-less malware relying
on" living off the land" techniques, poses significant challenges to traditional detection …