Digital Twin Based Topology Fingerprinting for Detecting False Data Injection Attacks in Cyber-Physical Systems
Author:
Affiliation:
1. University of Maryland Baltimore County (UMBC),Department of Computer Science and Electrical Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622750.pdf?arnumber=10622750
Reference22 articles.
1. Transitioning From Standard Automation Solutions to Cyber-Physical Production Systems: An Assessment of Critical Conceptual and Technical Challenges
2. Challenges and Opportunities in the Detection of Safety-Critical Cyberphysical Attacks
3. Digital Twin for Advanced Automation of Future Smart Grid
4. Management and real-time monitoring of interconnected energy hubs using digital twin: Machine learning based approach
5. Digital Twin simulation for deep learning framework for predicting solar energy market load in Trade-By-Trade data
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