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Activity Number:
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462
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #306963 |
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Title:
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Combinations of SDC Methods for Numerical Microdata
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Author(s):
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Anna Oganian*+ and Alan Karr
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Companies:
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National Institute of Statistical Sciences and National Institute of Statistical Sciences
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Address:
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19 TW Alexander Drive, RTP, NC, 27709-4006,
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Keywords:
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statistical disclosure control (SDC) ; microdata ; disclosure control methods ; data utility ; disclosure risk ; combinations of SDC methods
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Abstract:
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Publication of microdata raises the problem of preventing disclosure of confidential information about particular respondents without significantly damaging the utility of the data. A number of methods have been proposed for microdata protection. These methods may be implemented with different degrees of intensity through the appropriate parameter setting. However, even parameter variation may not be a refined enough tool to control the damage to the data caused by the method. In this paper, we propose a new approach in the protection of numerical microdata: applying several stages of masking to the data in such a way that the released data becomes closer to the original on every new stage of masking. At the same time, this approach makes it harder for the intruder to get precise estimates of original values based on the released data.
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