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

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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.

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Product Description

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.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Studies in Computational Intelligence, 997

Release date

December 2021

Availability

Expected to ship within 12 - 17 working days

First published

2022

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

257

Edition

1st ed. 2022

ISBN-13

978-3-03-089024-7

Barcode

9783030890247

Categories

LSN

3-03-089024-4



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