4.7 Article

Pricing and disseminating customer data with privacy awareness

期刊

DECISION SUPPORT SYSTEMS
卷 59, 期 -, 页码 63-73

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.dss.2013.10.006

关键词

Privacy; Pricing; Incentive compatibility; Data mining; Data analytics

资金

  1. National Library of Medicine of the National Institutes of Health [R01LM010942]

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Organizations today regularly share their customer data with their partners to gain competitive advantages. They are also often requested or even required by a third party to provide customer data that are deemed sensitive. In these circumstances, organizations are obligated to protect the privacy of the individuals involved while still benefiting from sharing data or meeting the requirement for releasing data. In this study, we analyze the tradeoff between privacy and data utility from the perspective of the data owner. We develop an incentive-compatible mechanism for the data owner to price and disseminate private data. With this mechanism, a data user is motivated to reveal his true purpose of data usage and acquire the data that suits to that purpose. Existing economic studies of information privacy primarily consider the interplay between the data owner and the individuals, focusing on problems that occur in the collection of private data. This study, however, examines the privacy issue facing a data owner organization in the distribution of private data to a third party data user when the real purpose of data usage is unclear and the released data could be misused. (C) 2013 Elsevier B.V. All rights reserved.

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