Big Data Privacy Preservation for Cyber-Physical Systems

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptogr...

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Bibliographic Details
Main Authors: Pan, Miao (Author), Wang, Jingyi (Author), Errapotu, Sai Mounika (Author), Zhang, Xinyue (Author), Ding, Jiahao (Author), Han, Zhu (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:SpringerBriefs in Electrical and Computer Engineering,
Subjects:
Wireless communication systems.
Mobile communication systems.
Data protection.
Telecommunication.
Wireless and Mobile Communication.
Data and Information Security.
Communications Engineering, Networks.
Online Access:Full-text access
Table of Contents:
  • Chapter 1 Cyber-Physical Systems
  • Chapter 2 Preliminaries
  • Chapter 3 Spectrum Trading with Secondary Users' Privacy Protection
  • Chapter 4 Optimization for Utility Providers with Privacy Preservation of Users' Energy Profile
  • Chapter 5 Caching with Users' Differential Privacy Preservation in Information-Centric Networks
  • Chapter 6 Clock Auction Inspired Privacy Preservation in Colocation Data Centers.

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