Big Data Analytics in Fog-Enabled IoT Networks - Couverture souple

Couverture souple

ISBN 10 : 1032206454 ISBN 13 : 9781032206455

Editeur : CRC Press, 2024

Synopsis

The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT 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 IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT 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 IoT Big Data and IoT 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 IoT system.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 1032206454
• ISBN 13: 9781032206455
• Reliure: Broché
• Nombre de pages: 232
• Éditeur: Gupta Govind P., Tripathi Rakesh, Gupta Brij B., Chui Kwok Tai
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne