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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 1, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #308224 |
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Title:
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Comparative Evaluation of Four Sensitive Tabular Data Protection Methods Using a Real-Life Table Structure of Complex Hierarchies and Links
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Author(s):
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Ramesh Dandekar*+
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Companies:
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Energy Information Administration
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Address:
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8922 Applecross Lane, Springfield, VA, 22153-1201,
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Keywords:
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linked tables ; hierarchical tables ; suppression ; noise addition ; controlled tabular adjustments ; network flow models
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Abstract:
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The practitioners of tabular data protection methods in federal statistical agencies have some familiarity with commonly used table structures. However, they require some guidance on how to evaluate appropriateness of various sensitive tabular data methods when applied to their own table structure. With that in mind, we use a real life "typical" table structure of moderate hierarchical and linked complexity and populate it with synthetic micro data to evaluate relative performance of four different tabular data protection methods. The methods selected for the evaluation are: 1) classical cell suppression 2) lp-based CTA (Dandekar 2001), 3) USBC's network flow-based cell suppression and 4) USBC's micro data level noise addition method. The outcome from the comparative evaluation is available from http://mysite.verizon.net/vze7w8vk.
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