Convergence of Deep Learning in Cyber IoT Systems and Security is popular PDF and ePub book, written by Rajdeep Chakraborty in 2022-12-08, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Convergence of Deep Learning in Cyber IoT Systems and Security can be Read Online from any device for your convenience.
Convergence of Deep Learning in Cyber IoT Systems and Security Book PDF Summary
CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of 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 implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.
Detail Book of Convergence of Deep Learning in Cyber IoT Systems and Security PDF
- Author : Rajdeep Chakraborty
- Release : 08 December 2022
- Publisher : John Wiley & Sons
- ISBN : 9781119857211
- Genre : Computers
- Total Page : 485 pages
- Language : English
- PDF File Size : 20,8 Mb
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