IEEE

A Hybrid Graph Neural Network and Neural ODE Model to Intrusion Detection in Dynamic Network Topologies

Abstract: The adaptive nature of evolving cyber-threats, particularly in Internet of Things (IoT) and Software-Defined Networking (SDN) environments, necessitates intrusion detection systems (IDS) ...
IEEE

Enhancing Intrusion Detection in Cloud Computing Environments Using a Hybrid BiGRU-CNN Model

Abstract: Due to its adaptability and pay-as-you-go pricing model, cloud computing has quickly become the go-to option for all types of IT companies. The majority of cloud intrusion detection systems ...
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 ...
Microsoft

Exposing Fox Tempest: A malware-signing service operation

Fox Tempest is a financially motivated threat actor operating a malware‑signing‑as‑a‑service (MSaaS) used by other ...