Titlebook: Deep Learning Techniques for IoT Security and Privacy; Mohamed Abdel-Basset,Nour Moustafa,Weiping Ding Book 2022 The Editor(s) (if applica

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Digital Forensics in Internet of Things,As IoT technology becomes an integral part of everyday life, enhancing productivity for businesses through automation, it should come as no surprise that attackers would seek to exploit these systems and the services they provide for profit.

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Semi-supervised Deep Learning for Secure Internet of Things,Previous chapters demonstrate the great success achieved by principally in supervised settings, by leveraging a larger volume of precisely annotated dataset. Nevertheless, annotated data instances are frequently complicated, costly, or laborious to acquire.

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Challenges, Opportunities, and Future Prospects,The central intention of this chapter is to discuss the primary security challenges in internet of things (IoT) environments with the main emphasis on the opportunities for deep learning for securing and maintaining the privacy of IoT-based systems.

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Internet of Things, Preliminaries and Foundations,ibutes of IoT systems that might possibly threaten the security of the system. Firstly, the definition and of the IoT system and the detailed description of its architecture are presented along with a taxonomy for dividing its architecture into layers with different complementary roles. Secondly, th

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