How a Brute Force Attack Unmasked a Ransomware Infrastructure Network

A routine RDP brute-force alert led to unusual credential hunting and a geo-distributed VPN-linked infrastructure. Huntress Labs explains how one compromised login unraveled a suspected ...
IEEE

A Hybrid Graph Neural Network Model for Predicting Cyber Attacks From Heterogeneous and Dynamic Network Data

Abstract: With valuable data constantly under attack, reactive security measures are no longer sufficient. Predicting cyber threats before they emerge is crucial. Cyberattacks do not occur randomly; ...
IEEE

Interactive Graph Learning for Multilevel Network Alignment

Abstract: The task of network alignment aims to identify corresponding nodes across multiple networks, with applications in various fields such as social network analysis and bioinformatics.
EurekAlert!

PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...