Self-Healing Control of Nuclear Power Plants Under False Data Injection Attacks

Author:

Yoo Stephen1ORCID,Mohler Greg2,Zhang Fan1ORCID

Affiliation:

1. Georgia Institute of Technology, 801 Ferst Drive, Atlanta, Georgia 30332

2. Georgia Tech Research Institute, 250 14th Street NW, Atlanta, Georgia 30332

Funder

Georgia Tech Research Institute Independent Research and Development (IRAD) program

Publisher

Informa UK Limited

Reference24 articles.

1. “Instrumentation and Control Systems Important to Safety in Nuclear Power Plants ” Safety Standards Series NS-G-1.3 International Atomic Energy Agency (2002); https://www.iaea.org/publications/6206/instrumentation-and-control-systems-important-to-safety-in-nuclear-power-plants.

2. S. KIM et al., “Cyber Security Strategy for Nuclear Power Plant Through Vital Digital Assets,” Proc. 2019 Int. Conf. Computational Science and Computational Intelligence (CSCI), Las Vegas, Nevada, December 5–7, 2019, p. 224, IEEE (2019).

3. Cyberphysical Security and Dependability Analysis of Digital Control Systems in Nuclear Power Plants

4. Robust localized cyber-attack detection for key equipment in nuclear power plants

5. J. RRUSHI and R. CAMPBELL, “Detecting Cyber Attacks on Nuclear Power Plants,” Critical Infrastructure Protection, Vol. II, pp. 41–54, Springer US (2008).

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