Deep Learning Techniques for IoT Security and Privacy (Hardcover, 1st ed. 2022)

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 997
Release date:	December 2021
First published:	2022
Authors:	Mohamed Abdel-Basset • Nour Moustafa • Hossam Hawash • Weiping Ding
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	257
Edition:	1st ed. 2022
ISBN-13:	978-3-03-089024-7
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-089024-4
Barcode:	9783030890247

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!