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Fundamental Limits in Data Privacy: From Privacy Measures to Economic Foundations

Posted on:2017-12-15Degree:Ph.DType:Dissertation
University:Arizona State UniversityCandidate:Wang, WeinaFull Text:PDF
GTID:1458390008457340Subject:Electrical engineering
Abstract/Summary:
Data privacy is emerging as one of the most serious concerns of big data analytics, particularly with the growing use of personal data and the ever-improving capability of data analysis. This dissertation first investigates the relation between different privacy notions, and then puts the main focus on developing economic foundations for a market model of trading private data. (Abstract shortened by ProQuest.).
Keywords/Search Tags:Economic foundations, Data privacy
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