Deep Learning Approaches for Security Threats in IoT Environments

Print length: 384 pages
Language: English
Publisher: Wiley-IEEE Press
Publication date: 16 November 2022

Name: Deep Learning Approaches for Security Threats in IoT Environments
SKU: 9781119884149
Availability: InStock

SKU: 9781119884149

Original price was: ₹13,350.00.Current price is: ₹12,015.00.

Secure your IoT environment with cutting-edge deep learning. This essential guide, “Deep Learning Approaches for Security Threats in IoT Environments,” explores the application of AI and deep learning techniques to safeguard Internet-of-Things systems. Discover how to implement supervised, semi-supervised, unsupervised, reinforcement, and federated learning for robust IoT security. Learn to address common security challenges, protect networks, and leverage smart devices for cybersecurity solutions. Featuring in-depth discussions on AI, IoT, cloud/fog/edge computing, and essential security requirements, this book is perfect for cybersecurity and AI professionals, as well as students in related fields. Enhance your understanding and protect against evolving threats in the interconnected world.

5 in stock

Category: Higher Education Textbooks Tag: Mohamed Abdel-Basset