Description
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.
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Contributors
- Wang, Weina (Author)
- Ying, Lei (Thesis advisor)
- Zhang, Junshan (Thesis advisor)
- Scaglione, Anna (Committee member)
- Zhang, Yanchao (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016
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Note
- Partial requirement for: Ph.D., Arizona State University, 2016Note typethesis
- Includes bibliographical references (pages 106-111)Note typebibliography
- Field of study: Electrical engineering
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by Weina Wang