Privacy Preservation in IoT: Machine Learning Approaches

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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 transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated...

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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 transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated...

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  • Formats: pdf
  • ISBN: 9789811917974
  • Publication Date: 27 Apr 2022
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM