This project aims to develop an architecture of AI-based cooperative security systems. We are developing an AI-based controller that manages underlying security building blocks such as intrusion detection systems, firewalls, and honeypots.

This project aims to develop an AI-based packet filtering model that detects malicous behavior from renewable energy networks, relying on unsupervised learning. We developed a framework that automatically generates an autoencoder used to detect malicious attacks.

This project aims to analyze the cases of implementations of cybersecurity in power facilities. We conduct case studies of cyber threats throughout the world, targeting energy utilies.