Privacy in Statistical Databases: UNESCO Chair in Data by Jordi Castro, Daniel Baena (auth.), Josep Domingo-Ferrer, PDF

By Jordi Castro, Daniel Baena (auth.), Josep Domingo-Ferrer, Yücel Saygın (eds.)

This e-book constitutes the refereed complaints of the overseas convention on privateness in Statistical Databases, PSD 2008, held in September 2008 in Istanbul, Turkey, below the sponsorship of the UNESCO chair in information Privacy.

The 27 revised complete papers offered have been rigorously reviewed and chosen from 37 submissions. The papers are prepared in topical sections on tabular facts defense; microdata security; on-line databases and distant entry; privacy-preserving information mining and personal details retrieval; and criminal issues.

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Read or Download Privacy in Statistical Databases: UNESCO Chair in Data Privacy International Conference, PSD 2008, Istanbul, Turkey, September 24-26, 2008. Proceedings PDF

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Extra resources for Privacy in Statistical Databases: UNESCO Chair in Data Privacy International Conference, PSD 2008, Istanbul, Turkey, September 24-26, 2008. Proceedings

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Results Comparing the Classical and Modified Classical Models Both models, classical and modified, selected the same secondary cells to suppress. The number of variables required, the number of constraints and the required cpu-time for each model is recorded in Table 7. For every percentage reduction in the number of primary cells that need to be considered when using the modified classical model to protect a published statistical table there is an equal percentage improvement in the number of variables and constraints required to solve the associated linear programme.

P. de Wolf and S. Giessing Considering correctly the links between tables in the cell suppression process leads to a substantial increase in problem complexity. This tends to lead in turn to substantial increase in the amount of information that will be suppressed. One way of avoiding at least part of this increase may be to improve certain mechanisms in the current heuristics of the Modular method which cause overprotection in some situations. 1 proposes an idea for how to improve current heuristics.

Serpell et al. Fig. 1. Percentage Improvement in Number of Variables needed by SAS/OR, the Number of Constraints needed by SAS/OR and the CPU Time needed by SAS/OR by the Percentage Reduction in Primary Cells Considered. 1 Experimental Setup Comparing the Classical and Modified Classical Models A set of 20 2-dimensional non-hierarchical magnitude statistical tables with marginal totals (see Table 6) were generated for the purpose of comparing the classical and modified models [9]. These statistical tables with marginal totals were protected using a SAS/OR implementation of the classical model and a SAS/OR implementation of the modified (initially exposed primary cells only) classical model, using the same computer.

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