Microsoft

From edge appliance to enterprise compromise: Multi-stage Linux intrusion via F5 and Confluence

A multi-stage attack on Linux devices began with an exposed F5 BIG-IP edge appliance and pivoted to an internal Confluence ...
Tech Xplore

Watching the detectors: Researchers probe efficacy—and danger—of AI detection tools

Patrick Traynor, Ph.D., has questions. When the professor and interim chair of the University of Florida Department of ...
Times Caribbean Online

ST. KITTS’ ZEIDAN BASS CAPTIVATES UVI 2026 COMMENCEMENT AS STUDENT SPEAKER AND CYBERSECURITY HONORS GRADUATE

NEVIS DAILY FROM ST. PAUL’S TO THE GLOBAL CYBER FRONTLINE: ST. KITTS’ ZEIDAN BASS EMERGES AS UVI CYBERSECURITY STAR DURING ...
IEEE

Employing Machine Learning Algorithms for Intrusion Attack Detection

Abstract: As computer networks grow increasingly, complex and robust security mechanisms are essential and critically needed. This research is an attempt to evaluate four machine learning algorithms ...
techxplore

Stress-testing method for cloud computing algorithms helps avoid network failures

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a ...
Nature

Underwater Object Detection Algorithms Using Deep Learning Techniques

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...
IEEE

Unveiling the Generalizability Gap: A Cross-Domain Evaluation of Machine Learning Algorithms for Network Intrusion Detection

Abstract: The ever-evolving threat landscape necessitates highly adaptable Network Intrusion Detection Systems (NIDS) powered by Machine Learning (ML). However, existing ML models often exhibit ...