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

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

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This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and...

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Bibliographic Details
Main Authors: Qu, Youyang (Author, http://id.loc.gov/vocabulary/relators/aut), Gao, Longxiang (http://id.loc.gov/vocabulary/relators/aut), Xiang, Yong (http://id.loc.gov/vocabulary/relators/aut), Yu, Shui (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2022
Edition:1st ed. 2022
Series:Computer Science (SpringerNature-11645)
SpringerBriefs in computer science
Subjects:
Artificial intelligence-Data processing
Big data
Data mining
Data protection-Law and legislation
Internet of things
Machine learning
Privacy
Big Data
Data Mining and Knowledge Discovery
Data Science
Internet of Things
Machine Learning

Internet

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