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 ...
Tech Wire Asia

Google says hackers are using AI to find zero-days and build malware

Google says attackers are using AI for zero-day research, malware development, reconnaissance, and access to premium AI tools ...
SecurityWeek

Claude AI Guided Hackers Toward OT Assets During Water Utility Intrusion

Dragos has published a report describing how threat actors used Claude AI in an attack on a water and drainage utility in Mexico. Cybersecurity firm Dragos has released a threat intelligence report ...
IEEE

Explainable AI-Driven Intrusion Detection System for DoS Attack Classification Using Deep Learning and Optimization Techniques

Abstract: An Intrusion Detection System (IDS) is crucial for strengthening cyber resilience, particularly in detecting and mitigating Denial of Service (DoS) occurrences that compromise network ...
IEEE

BCAST IDS: A Novel Network Intrusion Detection System for Broadcast Networks

Abstract: Network Intrusion Detection Systems (NIDSs) play a pivotal role in cybersecurity by identifying malicious activities through network traffic information to safeguard network infrastructures ...
GitHub

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection

Visual comparison between ESCNet and other SOTA methods. Our model accurately segments objects with complex backgrounds and intricate boundaries. For ease of use, we create a eval.sh script and a use ...