The R2Microgrid project focuses on developing network intrusion detection system solutions to improve threat detection and mitigation in critical energy systems. The project focuses on monitoring network traffic within microgrids to identify suspicious activities and potential security breaches. By analyzing incoming and outgoing data packets, it aims to detect anomalies, malicious patterns, and unauthorized access attempts, leveraging predefined rules and advanced machine learning algorithms. Microgrids leverage advanced technologies – such as smart grids, renewable energy sources, and energy storage systems – to create local energy networks.
First Name | Last Name | Title |
---|---|---|
Masoud | Daneshtalab | Professor |
Johan | Åkerberg | Adjunct Professor |
Maryam | Vahabi | Senior Lecturer |
Hossein | Fotouhi | Associate Professor,Docent |
Federated learning at theedgeinIndustrial Internet of Things: Areview (Feb 2025) Dinesh Sah, Maryam Vahabi, Hossein Fotouhi Sustainable Computing: Informatics and Systems (SUSCOM)