|
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Big Data Privacy Preservation for Cyber-Physical Systems
ISBN-13:
9783030133702
Veröffentl:
2019
Seiten:
73
Autor:
Miao Pan
Serie:
SpringerBriefs in Electrical and Computer Engineering
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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 cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements.
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.
Kunden Rezensionen
Mehr zum Thema
Folgen Sie uns auf:
