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Activity Number:
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428
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #310311 |
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Title:
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Measuring Privacy Loss Due to Data Release: A New Perspective
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Author(s):
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Lei Liu*+ and Heping Zhang
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Companies:
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Yale University and Yale University
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Address:
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300 George St Suite 523, New Haven, CT, 06511,
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Keywords:
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privacy ; disclosure control ; confidentiality ; mathematical model
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Abstract:
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A basic concern of data collectors releasing data to third parties is that the privacy of individuals in the data set might be compromised. When data releasing becomes necessary, the quantification of privacy loss is very important for data administrators since the design of the data releasing scheme must consult such measures to control the privacy loss. In this paper, we try to construct privacy loss measures from the viewpoints of data providers and keepers. The new measures can be defined without modeling intruders' behaviors and provide an unified rational for many existing privacy loss measures under various situations in the literature.
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