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Language: en
Pages: 127
Pages: 127
Type: BOOK - Published: 2022-04-27 - Publisher: Springer Nature
This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantage
Language: en
Pages: 273
Pages: 273
Type: BOOK - Published: 2021-12-05 - Publisher: Springer Nature
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 interpreta
Language: en
Pages: 388
Pages: 388
Type: BOOK - Published: 2022-12-20 - Publisher: John Wiley & Sons
Deep Learning Approaches for Security Threats in IoT Environments An expert discussion of the application of deep learning methods in the IoT security environme
Language: en
Pages: 334
Pages: 334
Type: BOOK - Published: 2023-05-23 - Publisher: Simon and Schuster
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learnin
Language: en
Pages: 186
Pages: 186
Type: BOOK - Published: 2022-04-03 - Publisher: Springer Nature
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-