Graph Convolutional Network-Based Suspicious Communication Pair Estimation for Industrial Control Systems

Graph Convolutional Network-Based Suspicious Communication Pair Estimation for Industrial Control Systems

Explore a 26-minute Black Hat conference talk on Graph Convolutional Network-based suspicious communication pair estimation for industrial control systems. Delve into the effectiveness of whitelisting as a security monitoring method for industrial control system networks, focusing on communication triplets. Learn about the DCN and GCN scopes, abnormality scoring, key ideas, and the RGCN process. Examine the evaluation phase, experimental results, discrimination performance, and computational costs associated with this approach to network security monitoring.