This book addresses the issues with privacy and security in
Internet of things (IoT) networks which are susceptible to
cyber-attacks and proposes deep learning-based approaches using
artificial neural networks models to achieve a safer and more
secured IoT environment. Due to the inadequacy of existing
solutions to cover the entire IoT network security spectrum, the
book utilizes artificial neural network models, which are used to
classify, recognize, and model complex data including images,
voice, and text, to enhance the level of security and privacy of
IoT. This is applied to several IoT applications which include
wireless sensor networks (WSN), meter reading transmission in smart
grid, vehicular ad hoc networks (VANET), industrial IoT and
connected networks. The book serves as a reference for researchers,
academics, and network engineers who want to develop enhanced
security and privacy features in the design of IoT systems.
General
Imprint: |
Springer Verlag, Singapore
|
Country of origin: |
Singapore |
Series: |
Signals and Communication Technology |
Release date: |
April 2023 |
First published: |
2021 |
Editors: |
Aaisha Makkar
• Neeraj Kumar
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
179 |
Edition: |
1st ed. 2021 |
ISBN-13: |
978-981-16-6188-4 |
Categories: |
Books
|
LSN: |
981-16-6188-X |
Barcode: |
9789811661884 |
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