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...
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| Médium: | text |
| Jazyk: | eng |
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Singapore : Springer,
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