Deep Learning Approaches For Security Threats In Iot Environments at Meripustak

Deep Learning Approaches For Security Threats In Iot Environments

Books from same Author: Abdel-Basset

Books from same Publisher: John Wiley

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  • General Information  
    Author(s)Abdel-Basset
    PublisherJohn Wiley
    Edition1st Edition
    ISBN9781119884149
    Pages384
    BindingHardcover
    LanguageEnglish
    Publish YearDecember 2022

    Description

    John Wiley Deep Learning Approaches For Security Threats In Iot Environments by Abdel-Basset

    Deep Learning Approaches for Security Threats in IoT EnvironmentsAn expert discussion of the application of deep learning methods in the IoT security environmentIn Deep Learning Approaches for Security Threats in IoT Environments, a team of distinguished cybersecurity educators deliver an insightful and robust exploration of how to approach and measure the security of Internet-of-Things (IoT) systems and networks. In this book, readers will examine critical concepts in artificial intelligence (AI) and IoT, and apply effective strategies to help secure and protect IoT networks. The authors discuss supervised, semi-supervised, and unsupervised deep learning techniques, as well as reinforcement and federated learning methods for privacy preservation.This book applies deep learning approaches to IoT networks and solves the security problems that professionals frequently encounter when working in the field of IoT, as well as providing ways in which smart devices can solve cybersecurity issues.Readers will also get access to a companion website with PowerPoint presentations, links to supporting videos, and additional resources. They’ll also find:A thorough introduction to artificial intelligence and the Internet of Things, including key concepts like deep learning, security, and privacyComprehensive discussions of the architectures, protocols, and standards that form the foundation of deep learning for securing modern IoT systems and networksIn-depth examinations of the architectural design of cloud, fog, and edge computing networksFulsome presentations of the security requirements, threats, and countermeasures relevant to IoT networksPerfect for professionals working in the AI, cybersecurity, and IoT industries, Deep Learning Approaches for Security Threats in IoT Environments will also earn a place in the libraries of undergraduate and graduate students studying deep learning, cybersecurity, privacy preservation, and the security of IoT networks.