The integration of fog computing with the resource-limited Internet of Things (Io T) network formulates the concept of the fog-enabled Io T system. Due to a large number of Io T devices, the Io T is a main source of Big Data. A large volume of sensing data is generated by Io T systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled Io T systems. Big Data Analytics in Fog-Enabled Io T Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-Io T system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of Io T Big Data and Io T networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled Io T system.
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