標題: Titlebook: Big Data Privacy Preservation for Cyber-Physical Systems; Miao Pan,Jingyi Wang,Zhu Han Book 2019 The Author(s), under exclusive license to [打印本頁] 作者: 懇求 時間: 2025-3-21 17:49
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書目名稱Big Data Privacy Preservation for Cyber-Physical Systems讀者反饋學科排名
作者: FANG 時間: 2025-3-21 22:22 作者: NEXUS 時間: 2025-3-22 04:24
,Spectrum Trading with Secondary Users’ Privacy Preservation,uncertain and individual SU’s traffic portfolio contains private information. In this chapter, we propose a data-driven spectrum trading scheme which maximizes PUs’ revenue and preserves SUs’ demand differential privacy. Briefly, we introduce a novel network architecture consisting of the PSP, the S作者: intolerance 時間: 2025-3-22 04:44 作者: ATP861 時間: 2025-3-22 11:12 作者: Initiative 時間: 2025-3-22 13:45
Clock Auction Inspired Privacy Preservation in Colocation Data Centers,ption during emergency situations to prevent major economic losses. While existing literature concentrates on owner-operated data centers (e.g., Google), this work studies EDR in multi-tenant colocation data centers (e.g., Equinix) where servers are owned and managed by individual tenants and which 作者: ellagic-acid 時間: 2025-3-22 18:13
2191-8112 n in real-time big data analytics to achieve better data man.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 methodologi作者: hedonic 時間: 2025-3-22 22:08 作者: Affectation 時間: 2025-3-23 02:15
Introduction to Complex Analysise 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.作者: 楓樹 時間: 2025-3-23 08:55
https://doi.org/10.1007/978-3-642-61525-2t CPS. The concept of . was first proposed by Dwork (Differential privacy: a survey of results. In: International conference on theory and applications of models of computation, Xi’an, 2008) which specifies that any individual has a very small influence on the (distribution of the) outcome of the co作者: 符合規(guī)定 時間: 2025-3-23 12:18
Continuation on Tubular Domains,uncertain and individual SU’s traffic portfolio contains private information. In this chapter, we propose a data-driven spectrum trading scheme which maximizes PUs’ revenue and preserves SUs’ demand differential privacy. Briefly, we introduce a novel network architecture consisting of the PSP, the S作者: AVID 時間: 2025-3-23 15:51
Continuation on Tubular Domains,ta collected by smart meters helps utility providers accurately predict users’ demands and significantly reduce power generation cost, while it imposes severe privacy risks on consumers and may discourage them from using those “espionage meters”. To enjoy the benefits of smart meter measured data wi作者: neologism 時間: 2025-3-23 18:50 作者: 不連貫 時間: 2025-3-23 23:21
Continuation on Tubular Domains,ption during emergency situations to prevent major economic losses. While existing literature concentrates on owner-operated data centers (e.g., Google), this work studies EDR in multi-tenant colocation data centers (e.g., Equinix) where servers are owned and managed by individual tenants and which 作者: NOMAD 時間: 2025-3-24 05:53
Miao Pan,Jingyi Wang,Zhu HanThis book addresses the processing limitations of massive data without disclosing users’ privacy in various CPS applications, a major concern in real-time big data analytics to achieve better data man作者: 思想流動 時間: 2025-3-24 10:33
SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/b/image/185656.jpg作者: itinerary 時間: 2025-3-24 12:41
Big Data Privacy Preservation for Cyber-Physical Systems978-3-030-13370-2Series ISSN 2191-8112 Series E-ISSN 2191-8120 作者: 個人長篇演說 時間: 2025-3-24 14:51 作者: 變態(tài) 時間: 2025-3-24 21:51
https://doi.org/10.1007/978-3-030-13370-2Big Data Analytics; Wireless big data privacy; differential privacy; data-driven optimization; ADMM; mach作者: 悄悄移動 時間: 2025-3-25 01:27 作者: COW 時間: 2025-3-25 03:24
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.作者: Embolic-Stroke 時間: 2025-3-25 08:43 作者: 移動 時間: 2025-3-25 15:22 作者: PLAYS 時間: 2025-3-25 18:25 作者: Ballerina 時間: 2025-3-25 22:18 作者: Onerous 時間: 2025-3-26 00:13
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作者: aggrieve 時間: 2025-3-26 05:22
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 作者: 我怕被刺穿 時間: 2025-3-26 10:42 作者: entrance 時間: 2025-3-26 13:27
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 作者: Carcinoma 時間: 2025-3-26 18:27
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 作者: MOTTO 時間: 2025-3-27 00:37
,Spectrum Trading with Secondary Users’ Privacy Preservation,ion of all SUs. Moreover, the STED adds noises to preserve the demand differential privacy of sampled SUs before it answers the demand estimation queries from the PSP. With the estimated SUs’ demand, we formulate the revenue maximization problem into a risk-averse optimization, develop feasible solu作者: Blood-Vessels 時間: 2025-3-27 02:29
,Optimization for Utility Providers with Privacy Preservation of Users’ Energy Profile,ion, the utility provider aggregates a given set of historical users’ differentially private data, estimates the users’ demands, and formulates the data-driven cost minimization based on the collected noisy data. We also develop algorithms for feasible solutions, and verify the effectiveness of the 作者: hyperuricemia 時間: 2025-3-27 07:14 作者: 證明無罪 時間: 2025-3-27 10:37 作者: 香料 時間: 2025-3-27 16:15
Springer Tracts in Advanced Roboticshow agent technology could be used to make a virtual tutor that assists the student during the training. In particular, we study how the tutor can generate persuasive arguments for what the student should do.作者: Inflamed 時間: 2025-3-27 20:12 作者: Myofibrils 時間: 2025-3-28 01:53
Jens Amendt,M.Lee Goff,Martin GrassbergerAll authors are top experts in their field.Many topics are dealt with for the first time in a Forensic Entomology textbook, at least in this depth.Interdisciplinary approach of the book shows trends f
