Deep Learning for Security and Privacy Preservation in IoT

Name: Deep Learning for Security and Privacy Preservation in IoT
Brand: Springer, Berlin
SKU: 9789811661884
Price: 1008.2 RON
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Autor: Aaisha Makkar, Neeraj Kumar

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Editura: Springer, Berlin

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This book addresses the issues with privacy and security in Internet of things (IoT) networks which...

Informații despre carte

Autor

Aaisha Makkar, Neeraj Kumar

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2023

Pagini

179

EAN

9789811661884

Enbook ID

43085521

Editura

Springer, Berlin

Greutate

276

Dimensiuni

155 x 235

Descriere completă

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.

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Deep Learning for Security and Privacy Preservation in IoT

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Descriere completă

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