Graph convolutional network (GCN) has gained widespread attention in semisupervised classification tasks. Recent studies show that GCN-based methods have achieved decent performance in numerous fields ...

Security graphs are becoming indispensable for understanding system access and network activity and empowering security teams to anticipate, detect and contain breaches.

Recently, Machine Learning (ML) techniques have introduced new opportunities to enhance distributed TE. In this paper, we propose Path-Based Graph Neural Network (PathGNN), which leverages the ...

NetSentinel is a Python framework for red team reconnaissance, focusing on stealthy network discovery and internal enumeration. Ideal for authorized operations. 🚀🐙 flask network smb active-directory ...