Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective

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.

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

Book Size:

216 Pages

ISBN-13:

9781000861860

Related ISBNs:

9781032206455, 9781003264545, 9781032206448

Publisher:

CRC Press

Date of Addition:

04/19/23

Copyrighted By:

selection and editorial matter, Govind P. Gupta, Rakesh Tripathi, Brij B. Gupta, and Kwok Tai Chui

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Govind P. Gupta

Edited by:

Rakesh Tripathi

Edited by:

Brij B. Gupta

Edited by:

Kwok Tai Chui