Abstract: This paper explores the development and evaluation of advanced machine learning models for intrusion detection in cloud environments. We focus on Transformer-based Spatio-Temporal Graph ...
Abstract: In today's connected and data-driven world, networks and digital systems need to be protected from malicious attacks. The effectiveness of conventional Intrusion Detection Systems (IDS) in ...
DEFT-Intruder is a lightweight, real-time malware detection daemon for Linux systems. It monitors all running processes and uses a combination of machine learning and heuristic rules to detect and ...
Two Central Jersey hospitals are now using robotic assistance for the replacement of knees, hips and shoulders. Robert Wood Johnson University Hospital Somerset in Somerville and Hunterdon Health in ...
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