Titlebook: Industrial Control Systems Security and Resiliency; Practice and Theory Craig Rieger,Indrajit Ray,Michael A. Haney Book 2019 Springer Natur

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Timothy R. McJunkin,Craig Riegerreedy local neighborhood search algorithm to restrict the search space of hypotheses. We evaluated the proposed approach on several thousand frames of PRID and Grand Central datasets, and obtained significantly better results compared to existing methods.

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Cyber-Physical Anomaly Detection for Power Grid with Machine Learningis investigated in this chapter. Firstly, a brief overview about the modern power systems and their cybersecurity concerns is given. Then, facets of power grid anomaly detection and suitable applications of various machine learning techniques are elaborated. Finally, we select generation control ano

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Toward the Science of Industrial Control Systems Security and Resiliencynalysis, considering smart grid SCADA systems. These frameworks take smart grid configurations and organizational security or resiliency requirements as inputs, formally model configurations and various security properties, and verify the dependability of the system under potential attacks or contin

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Proactive Defense Through DeceptionTo address this limitation, we present a graph-based approach for manipulating the attacker’s view of a system’s attack surface, which does not require altering the actual configuration of a system. To achieve this objective, we first formalize the notions of system view and distance between views a

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Industrial Control Systems Security and ResiliencyPractice and Theory