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Cyber-Security Threats and Response Models in Nuclear Power Plants / by Carol Smidts, Indrajit Ray, Quanyan Zhu, Pavan Kumar Vaddi, Yunfei Zhao, Linan Huang, Xiaoxu Diao, Rakibul Talukdar, Michael C. Pietrykowski
(SpringerBriefs in Computer Science. ISSN:21915776)
| データ種別 | 電子ブック |
|---|---|
| 版 | 1st ed. 2022. |
| 出版者 | (Cham : Springer International Publishing : Imprint: Springer) |
| 出版年 | 2022 |
| 大きさ | X, 93 p. 30 illus : online resource |
| 著者標目 | *Smidts, Carol author Ray, Indrajit author Zhu, Quanyan author Vaddi, Pavan Kumar author Zhao, Yunfei author Huang, Linan author Diao, Xiaoxu author Talukdar, Rakibul author Pietrykowski, Michael C author SpringerLink (Online service) |
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| 一般注記 | Introduction -- Probabilistic Risk Assessment: Nuclear Power Plants and Introduction to the Context of Cyber Security -- Machine Learning based Abnormal Event Detection and Classification -- Game-Theoretic Design of Response Systems -- Experimental Testbeds and Design of Experiments -- Conclusions This SpringerBrief presents a brief introduction to probabilistic risk assessment (PRA), followed by a discussion of abnormal event detection techniques in industrial control systems (ICS). It also provides an introduction to the use of game theory for the development of cyber-attack response models and a discussion on the experimental testbeds used for ICS cyber security research. The probabilistic risk assessment framework used by the nuclear industry provides a valid framework to understand the impacts of cyber-attacks in the physical world. An introduction to the PRA techniques such as fault trees, and event trees is provided along with a discussion on different levels of PRA and the application of PRA techniques in the context of cybersecurity. A discussion on machine learning based fault detection and diagnosis (FDD) methods and cyber-attack detection methods for industrial control systems are introduced in this book as well. A dynamic Bayesian networks based method that can be used to detect an abnormal event and classify it as either a component fault induced safety event or a cyber-attack is discussed. An introduction to the stochastic game formulation of the attacker-defender interaction in the context of cyber-attacks on industrial control systems to compute optimal response strategies is presented. Besides supporting cyber-attack response, the analysis based on the game model also supports the behavioral study of the defender and the attacker during a cyber-attack, and the results can then be used to analyze the risk to the system caused by a cyber-attack. A brief review of the current state of experimental testbeds used in ICS cybersecurity research and a comparison of the structures of various testbeds and the attack scenarios supported by those testbeds is included. A description of a testbed for nuclear power applications, followed by a discussion on the design of experiments that can be carried out on the testbed and the associated results is covered as well. This SpringerBrief is a useful resource tool for researchers working in the areas of cyber security for industrial control systems, energy systems and cyber physical systems. Advanced-level students that study these topics will also find this SpringerBrief useful as a study guide HTTP:URL=https://doi.org/10.1007/978-3-031-12711-3 |
|---|---|
| 件 名 | LCSH:Data protection LCSH:Cooperating objects (Computer systems) LCSH:Nuclear engineering FREE:Data and Information Security FREE:Cyber-Physical Systems FREE:Nuclear Energy |
| 分 類 | LCC:QA76.9.A25 DC23:005.8 |
| 書誌ID | EB00004075 |
| ISBN | 9783031127113 |
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