Data Degradation: Making Private Data Less Sensitive Over Time

N.L.G. Anciaux, Luc Bouganim, H.J.W. van Heerde, Philippe Pucheral, Peter M.G. Apers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
67 Downloads (Pure)

Abstract

Trail disclosure is the leakage of privacy sensitive data, resulting from negligence, attack or abusive scrutinization or usage of personal digital trails. To prevent trail disclosure, data degradation is proposed as an alternative to the limited retention principle. Data degradation is based on the assumption that long lasting purposes can often be satisfied with a less accurate, and therefore less sensitive, version of the data. Data will be progressively degraded such that it still serves application purposes, while decreasing accuracy and thus privacy sensitivity.
Original languageUndefined
Title of host publicationProceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM2008)
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages1401-1402
Number of pages2
ISBN (Print)978-1-59593-991-3
DOIs
Publication statusPublished - Oct 2008
Event17th ACM Conference on Information and Knowledge Management, CIKM 2008 - Napa Valley, United States
Duration: 26 Oct 200830 Oct 2008
Conference number: 17

Publication series

Name
PublisherACM
NumberDTR08-9

Conference

Conference17th ACM Conference on Information and Knowledge Management, CIKM 2008
Abbreviated titleCIKM
CountryUnited States
CityNapa Valley
Period26/10/0830/10/08

Keywords

  • IR-64916
  • DB-SDM: SECURE DATA MANAGEMENT
  • METIS-251127
  • EWI-13211
  • CR-H.2.7

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