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...
Κύριοι συγγραφείς: | , , , , , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Σειρά: | SpringerBriefs in Electrical and Computer Engineering,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.