Development of a cyberattack response planning method for nuclear power plants by using the Markov decision process model

Lee, Chanyoung; Han, Sang Min; Chae, Young Ho; Seong, Poong Hyun

doi:10.1016/j.anucene.2021.108725

Cited by 7 publications

(1 citation statement)

References 17 publications

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“…In addition, researchers have developed a security state estimation method utilizing online updated hidden Markov models to analyze the functional impact. Poong Hyun Seong et al, have designed a cyber-attack reaction planning approach based on Markov decision process model and the Monte-Carlo tree search algorithm to develop optimal reaction plans that improve response margin time and conserve time essential to secure NPPs safety [42].…”

Section: B Cyber-security In Power Generation Systemmentioning

confidence: 99%

A Comprehensive Review on Cyber-Attacks in Power Systems: Impact Analysis, Detection, and Cyber Security

Tatipatri,

Arun

2024

IEEE Access

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Continuous communication and information technology advancements facilitate the modernization of the conventional energy grid into an integrated platform. Internet-of-Things (IoT) incorporates power systems, particularly smart grid features and the delivery of new services from the utility side to the end user over a two-way communication channel. However, severe security vulnerabilities have been created due to over-dependency on IoT based communication systems. In addition, critical information exchange between any two entities or devices is always an appealing target for cyber-attackers, especially with financial interest motive by damaging integrity, confidentiality and authenticity in a communication channel. Maintaining data security and preserving privacy in between two entities during the transmission or any data distribution are essential. The potential attacks and impacts of those attacks need to be investigated to develop an effective cyber security infrastructure. Thus, considerable researchers focused on detection and mitigation of these vulnerable cyber-attacks using advanced computation tools. This review article thoroughly investigated possible ways to address cyber security challenges such as smart meter security, end-users privacy, electricity theft cyber-attacks using blockchain and cryptography against communication attacks in smart grid. The operational impacts of cyber-attacks on power system security, as well as the economic impact on deregulated energy markets, have been extensively explored. In addition, the robustness of security features and cryptographic methods against various cyber-attacks is investigated to suggest unexplored cyber-attacks for future scope. Specially, the study of real-world cyber security events, case studies, new findings and new scopes in diverse power industries are carried out. More than 135 research articles has been examined for this review article. This paper mainly concentrates on distribution-side cyberattacks with impact analysis, detection and protection techniques.

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Section: B Cyber-security In Power Generation Systemmentioning

confidence: 99%