Big Data Privacy Preservation for Cyber-Physical Systems

• Main Authors: Pan, Miao (Author, http://id.loc.gov/vocabulary/relators/aut), Wang, Jingyi (http://id.loc.gov/vocabulary/relators/aut), Errapotu, Sai Mounika (http://id.loc.gov/vocabulary/relators/aut), Zhang, Xinyue (http://id.loc.gov/vocabulary/relators/aut), Ding, Jiahao (http://id.loc.gov/vocabulary/relators/aut), Han, Zhu (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Wireless communication systems.; Mobile communication systems.; Data protection.; Electrical engineering.; Wireless and Mobile Communication.; Security.; Communications Engineering, Networks.

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...

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.