000			03738cam a2200325 i 4500
020			_a9783031127113
020			_a3031127110
082	0	4	_a005.8
100	1		_aSmidts, C.
245	1	0	_aCyber-security threats and response models in power plants / _cCarol Smidts, Indrajit Ray, Quanyan Zhu, Pavan Kumar Vaddi, Yunfei Zhao, Linan Huang, Xiaoxu Diao, Rakibul Talukdar, Michael C. Pietrykowski
264		1	_aCham, Switzerland : _bSpringer, _c2022
300			_a1 online resource
490	1		_aSpringerBriefs in Computer Science,
505	0		_aIntroduction -- 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
520			_aThis 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
650		0	_aComputer security.
650		0	_aNuclear power plants
700	1		_aRay, Indrajit
700	1		_aZhu, Quanyan,
700	1		_aVaddi, Pavan Kumar,
700	1		_aZhao, Yunfei,
700	1		_aHuang, Linan,
700	1		_aDiao, Xiaoxu,
700	1		_aTalukdar, Rakibul,
700	1		_aPietrykowski, Michael C.,
856	4	0	_uhttps://rave.ohiolink.edu/ebooks/ebc2/9783031127113
856	4	0	_uhttps://link.springer.com/10.1007/978-3-031-12711-3
856	4	0	_uhttps://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-12711-3
942			_2lcc _cBK
999			_c14150 _d14150