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Decentralized Privacy Protection of IoTs Using Blockchain-Enabled Federated Learning

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posted on 2022-01-01, 00:00 authored by Y Qu, Longxiang GaoLongxiang Gao, S Yu, Yong XiangYong Xiang
Internet of Things (IoT), as the extension of cloud computing and a foundation of edge computing, is fast booming due to its abilities to easy the bothersome issues of networks like high latency, congestion, etc. However, the privacy issues attract increasing concerns which result in the “data isolated islands” while dragging down the performances of IoT.

History

Chapter number

3

Pagination

19-48

ISSN

2191-5768

eISSN

2191-5776

ISBN-13

978-981-19-1797-4

Language

eng

Publication classification

B1 Book chapter

Extent

7

Editor/Contributor(s)

Qu Y, Gao L, Yu S, Xiang Y

Publisher

Springer Link

Place of publication

Singapore

Title of book

Privacy Preservation in IoT: Machine Learning Approaches. A Comprehensive Survey and Use Cases

Series

SpringerBriefs in Computer Science

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