Titlebook: Big Data Privacy Preservation for Cyber-Physical Systems; Miao Pan,Jingyi Wang,Zhu Han Book 2019 The Author(s), under exclusive license to

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Cyber-Physical Systems,e present four different applications of CPS in the real world and briefly summarize the state-of-art research and the research challenges for the privacy preservation and big data analysis in these CPS systems. In this chapter, we provide content outlines for the rest of the book.

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Continuation on Tubular Domains,d by implementing homomorphic encryption for aggregation through the clock auction, where operator can only know the aggregate of the tenants’ values or bids but not their individual private values or confidential information submitted to meet the EDR. We evaluate the privacy and performance of this

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Book 2019 individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or

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2191-8112 , healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or 978-3-030-13369-6978-3-030-13370-2Series ISSN 2191-8112 Series E-ISSN 2191-8120

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Preliminaries,m Econ J Microecon 9(3):1–27, 2017; Jin and Zhang, Privacy-preserving crowdsourced spectrum sensing. In: Proceeding of the IEEE international conference on computer communications (INFOCOM), pp. 1–9, 2016). In this chapter, we illustrate three variants of differential privacy, centralized different