Название: Advanced Techniques and Applications of Cybersecurity and Forensics
Автор: Keshav Kaushik, Mariya Ouaissa, Aryan Chaudhary
Издательство: CRC Press
Год: 2025
Страниц: 325
Язык: английский
Формат: pdf (true)
Размер: 32.0 MB

The book gives a comprehensive overview of the evolving landscape of cyber-physical systems (CPS) with a primary focus on security challenges and innovative solutions. CPS, encompassing a wide array of applications from e-Health to smart grid and industry automation, is explored in depth through eight edited reviews.

The book starts with an exploration of various threat detection and prevention techniques in IoT environments, followed by discussions on security in smart grid cyber-physical systems, and the integration of cyber-physical systems with game theory. It also covers important topics such as cyber-physical systems in healthcare, augmented reality challenges, network and computer forensic frameworks, and a review of industrial critical infrastructure perspectives.
The journey from traditional data warehouses to data lakes is thoroughly examined, shedding light on the evolution of data storage methods. The final chapter explains intrusion detection in industrial critical infrastructure, reviewing feature selection and classification models. By navigating through these topics, the book equips readers with a comprehensive understanding of cybersecurity challenges and solutions in an era of automation and IoT technologies.

This book is intended for a diverse readership, including professionals, researchers, and technology enthusiasts keen on exploring the intricacies of CPS, IoT security, data storage evolution, and industrial infrastructure protection.

Key Features:
Analytical insights into cyber-physical systems security.
Thorough exploration of threat detection and prevention techniques.
Application-focused chapters covering smart grid, healthcare, and more.
Integration of game theory and augmented reality in cyber-physical systems.
Comprehensive overview on network and computer forensic frameworks.

Readership:
Computer science students; Cybersecurity graduates and trainees; academics, researchers and industry professionals interested in understanding and utilizing cyber-physical systems.