Convergence of Deep Learning in Cyber-IoT Systems and Security

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This book provides innovative solutions and implementation on deep learning-based models in Cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II: presents many innovative solutions, algorithms, models and implementation based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical system as well as the a discussion on the security and threats in cyber-physical system with probable solutions.