Center for Cyber Security Research, UND
The Center for Cyber Security Research (C2SR) is a research entity based within College of Engineering and Mines at the University of North Dakota.
Transforming Grid Modernization: Advancing Optimal Dispatch for Resilient and Reliable Grids
Cybersecurity Engineering Program Overview
Real-Time Co-Simulation Of Power Systems And Communication Networks For Cybersecurity Studies
Advancing AI for Cyber Defense in Power Grids: Detection,Explanation, and Resilience
Cyber–Physical Resilience of Smart Grid:From Dynamic Attack Design to Adaptive Moving Target Defense
2025 Cyber Resilience & Operational Dominance in Critical Infrastructure Summit - Day 1
2025 Cyber Resilience & Operational Dominance in Critical Infrastructure Summit - Day 2
Public and Private Responses to Digital Deception
Complete AWS Workshop Day 2 IEEE 5th Cyber Awareness and Research Symposium 2025 ( CARS'25 )
Complete workshop: Federated AI with Flower
Lessons learned designing, building, and going to orbit with a cyber intrusion detection payload
Balancing Resilience and Cybersecurity in OT Environments
Awards Ceremony - IEEE 5th Cyber Awareness and Research Symposium 2025 ( CARS'25 )
AI - Assisted UAV Operations and Cyberattacks in Aviation
Recent Progress in Privacy Preserving DER Control and Perspectives on Energy Access Challenges
Enhancing Cyber Physical Resilience of Smart Grids
Cyber Physical Security Analysis of Digital Substations
Securing the Grid Edge: AI-Driven Cybersecurity for DERMS and Critical Infrastructure
The Future of Technology: Navigating the Next Digital Frontier with AI and Cybersecurity
Verifying the eBPF Verifier in the Linux Kernel
Building Trust in AI Driven Security The Case for Explainable Threat Intelligence.
Securing the Bare Metal Control Flow Attestation and Pitfalls in Microcontroller System Design
Biometric Security in the Age of Generative AI: From Anti Spoofing to Health
AI for Social Good in the Era of Large Language Models
Safeguarding Data Confidentiality: From Deniable Encryption to Secure Deletion.
Generative AI including Large Language Models for Cyber Security
Detection of Anomalous Data and Malicious Sensors in Connected and Autonomous Vehicle Networks
Enabling Data Recovery from Ransomware Attacks in Mobile Devices.
Applied Machine Learning and Nonlinear Methods for Cybersecurity.