Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases
Heftet /
2022
/ Engelsk
Produktdetaljer
ISBN
9789811917967
Publisert
2022-04-28
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
11
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.
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Reviews recent developed privacy-preserving techniques in IoTs Enriches the understanding of emerging machine learning enhanced privacy-preserving techniques in IoTs Maximizes readers’ insights into how machine learning can further enhance privacy protection in IoTs
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Produktdetaljer
ISBN
9789811917967
Publisert
2022-04-28
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
11