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Springer Security of Cyber-Physical Systems: State Estimation and Control

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Description

This comprehensive academic text examines security challenges in cyber-physical systems from both adversarial and defensive perspectives. The book presents advanced secure state estimation and control algorithms that integrate moving target defense schemes, zero-sum game-theoretical approaches, reinforcement learning, neural networks, and intelligent control methods. Designed for researchers and professionals in cybersecurity and control systems, it addresses malicious attacks on cyber-physical infrastructure and provides practical solutions for protecting critical systems. The work combines theoretical foundations with novel algorithmic approaches to enable robust defense mechanisms against sophisticated threats, making it essential reading for those developing secure systems in industrial automation, grid control, and other cyber-physical applications.

Key Features

The book presents secure state estimation and control algorithms specifically designed for cyber-physical systems under malicious attack scenarios.

Moving target defense and game-theoretical approaches are integrated throughout to provide dynamic security strategies against adversaries.

Reinforcement learning and neural network techniques are applied to enable adaptive and intelligent control within the Springer text.

The publication addresses security from both attacker and defender perspectives, offering comprehensive coverage of cyber-physical system vulnerabilities.

Advanced control methods and defensive algorithms provide practical solutions for protecting critical infrastructure and industrial systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 October 2021
Listed Since
29 August 2021

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No barcode data available

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