Deep Learning Techniques for IoT Security and Privacy (Paperback, 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 2022

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2022

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

257

Edition

1st ed. 2022

ISBN-13

978-3-03-089027-8

Barcode

9783030890278

Categories

LSN

3-03-089027-9



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