Realizing privacy-preserving features in hippocratic databases

Yasin Laura-Silva, Walid G. Aref

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Preserving privacy has become a crucial requirement for operating a business that manages personal data. Hippocratic databases have been proposed to answer this requirement through a database design that includes responsibility for the privacy of data as a founding tenet. We identify, study, and implement several privacy-preserving features that extend the previous work on Limiting Disclosure in Hippocratic databases. These features include the support of multiple policy versions, retention time, generalization hierarchies, and multiple SQL operations. The proposed features facilitate in making Hippocratic databases one step closer to fitting real-world scenarios. We present the design and implementation guidelines of each of the proposed features. The evaluation of the effect in performance shows that the cost of these extensions is small and scales well to large databases.

Original languageEnglish (US)
Title of host publicationWorkshops in Conjunction with the International Conference on Data Engineering - ICDE' 07
Pages198-206
Number of pages9
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
EventWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007 - Istanbul, Turkey
Duration: Apr 15 2007Apr 20 2007

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

OtherWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007
CountryTurkey
CityIstanbul
Period4/15/074/20/07

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Laura-Silva, Y., & Aref, W. G. (2007). Realizing privacy-preserving features in hippocratic databases. In Workshops in Conjunction with the International Conference on Data Engineering - ICDE' 07 (pp. 198-206). [4400992] (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDEW.2007.4400992