Cyber-Security Threats and Response Models in Nuclear Power Plants (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computer Science
Release date:	October 2022
First published:	2022
Authors:	Carol Smidts • Indrajit Ray • Quanyan Zhu • Pavan Kumar Vaddi • Yunfei Zhao • Linan Huang • Xiaoxu Diao • Rakibul Talukdar • Michael C. Pietrykowski
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	93
Edition:	1st ed. 2022
ISBN-13:	978-3-03-112710-6
Categories:	Books > Earth & environment > The environment > Nuclear issues Books > Professional & Technical > Energy technology & engineering > Nuclear power & engineering Books > Computing & IT > Computer communications & networking > Network security Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Promotions
LSN:	3-03-112710-2
Barcode:	9783031127106

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