Privacy Preservation in IoT: Machine Learning Approaches : A Comprehensive Survey and Use Cases /
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...
| Main Authors: | , , , |
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| Format: | text |
| Language: | eng |
| Published: |
Singapore : Springer,
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| Subjects: |