Name: Convergence of Deep Learning in Cyber-Iot Systems and Security (en Inglés)
SKU: 54164400
Price: 234.03 USD
Availability: InStock
Author: Chakraborty, Rajdeep ; Ghosh, Anupam ; Mandal, Jyotsna Kumar

portada Convergence of Deep Learning in Cyber-Iot Systems and Security (en Inglés)

Convergence of Deep Learning in Cyber-Iot Systems and Security (en Inglés)

Formato

Libro Físico

Editorial

Wiley-Scrivener

Autor

Chakraborty, Rajdeep ; Ghosh, Anupam ; Mandal, Jyotsna Kumar

Año

2023

Idioma

Inglés

N° páginas

480

Encuadernación

Tapa Dura

Dimensiones

23.1x15.2x3 cm

Peso

0.82 kg.

ISBN13

9781119857211

Categorías

Inteligencia artificial

Convergence of Deep Learning in Cyber-Iot Systems and Security (en Inglés)

Chakraborty, Rajdeep ; Ghosh, Anupam ; Mandal, Jyotsna Kumar (Autor) · Wiley-Scrivener · Tapa Dura

Libro Nuevo Importado

Envío: 18 a 25 días háb.

$ 425.51$ 234.03

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 51 unidades

$ 234.03

Llega entre el 18 Sep y el 01 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Convergence of Deep Learning in Cyber-Iot Systems and Security (en Inglés)"

CONVERGENCE OF DEEP LEARNING IN CYBER-IOT SYSTEMS AND SECURITY In-depth analysis of Deep Learning-based cyber-IoT systems and security which will be the industry leader for the next ten years. The main goal of this book is to bring to the fore unconventional cryptographic methods to provide cyber security, including cyber-physical system security and IoT security through deep learning techniques and analytics with the study of all these systems. This book provides innovative solutions and implementation of deep learning-based models in cyber-IoT systems, as well as the exposed security issues in these systems. The 20 chapters are organized into four parts. Part I gives the various approaches that have evolved from machine learning to deep learning. Part II presents many innovative solutions, algorithms, models, and implementations based on deep learning. Part III covers security and safety aspects with deep learning. Part IV details cyber-physical systems as well as a discussion on the security and threats in cyber-physical systems with probable solutions. Audience Researchers and industry engineers in computer science, information technology, electronics and communication, cybersecurity and cryptography.