InstantDB: Enforcing Timely Degradation of Sensitive Data

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 contribution

  • 3 Citations

Abstract

People cannot prevent personal information from being collected by various actors. Several security measures are implemented on servers to minimize the possibility of a privacy violation. Unfortunately, even the most well defended servers are subject to attacks and however much one trusts a hosting organism/company, such trust does not last forever. We propose a simple and practical degradation model where sensitive data undergoes a progressive and irreversible degradation from an accurate state at collection time, to intermediate but still informative fuzzy states, to complete disappearance. We introduce the data degradation model and identify related technical challenges and open issues.
LanguageUndefined
Title of host publicationProceedings of the 24th International Conference on Data Engineering (ICDE2008)
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
Pages1373-1375
Number of pages3
ISBN (Print)978-1-4244-1837-4
DOIs
StatePublished - 7 Apr 2008
Event24th International Conference on Data Engineering, ICDE 2008 - Presidente InterContinental Cancun Resort, Cancun, Mexico
Duration: 7 Apr 200912 Apr 2009
Conference number: 24

Publication series

Name
PublisherIEEE Computer Society Press

Conference

Conference24th International Conference on Data Engineering, ICDE 2008
Abbreviated titleICDE
CountryMexico
CityCancun
Period7/04/0912/04/09

Keywords

  • EWI-11408
  • IR-64463
  • METIS-250845

Cite this

Anciaux, N. L. G., Bouganim, L., van Heerde, H. J. W., Pucheral, P., & Apers, P. M. G. (2008). InstantDB: Enforcing Timely Degradation of Sensitive Data. In Proceedings of the 24th International Conference on Data Engineering (ICDE2008) (pp. 1373-1375). [10.1109/ICDE.2008.4497560] Los Alamitos: IEEE Computer Society. DOI: 10.1109/ICDE.2008.4497560
Anciaux, N.L.G. ; Bouganim, Luc ; van Heerde, H.J.W. ; Pucheral, Philippe ; Apers, Peter M.G./ InstantDB: Enforcing Timely Degradation of Sensitive Data. Proceedings of the 24th International Conference on Data Engineering (ICDE2008). Los Alamitos : IEEE Computer Society, 2008. pp. 1373-1375
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abstract = "People cannot prevent personal information from being collected by various actors. Several security measures are implemented on servers to minimize the possibility of a privacy violation. Unfortunately, even the most well defended servers are subject to attacks and however much one trusts a hosting organism/company, such trust does not last forever. We propose a simple and practical degradation model where sensitive data undergoes a progressive and irreversible degradation from an accurate state at collection time, to intermediate but still informative fuzzy states, to complete disappearance. We introduce the data degradation model and identify related technical challenges and open issues.",
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Anciaux, NLG, Bouganim, L, van Heerde, HJW, Pucheral, P & Apers, PMG 2008, InstantDB: Enforcing Timely Degradation of Sensitive Data. in Proceedings of the 24th International Conference on Data Engineering (ICDE2008)., 10.1109/ICDE.2008.4497560, IEEE Computer Society, Los Alamitos, pp. 1373-1375, 24th International Conference on Data Engineering, ICDE 2008, Cancun, Mexico, 7/04/09. DOI: 10.1109/ICDE.2008.4497560

InstantDB: Enforcing Timely Degradation of Sensitive Data. / Anciaux, N.L.G.; Bouganim, Luc; van Heerde, H.J.W.; Pucheral, Philippe; Apers, Peter M.G.

Proceedings of the 24th International Conference on Data Engineering (ICDE2008). Los Alamitos : IEEE Computer Society, 2008. p. 1373-1375 10.1109/ICDE.2008.4497560.

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

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T1 - InstantDB: Enforcing Timely Degradation of Sensitive Data

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Anciaux NLG, Bouganim L, van Heerde HJW, Pucheral P, Apers PMG. InstantDB: Enforcing Timely Degradation of Sensitive Data. In Proceedings of the 24th International Conference on Data Engineering (ICDE2008). Los Alamitos: IEEE Computer Society. 2008. p. 1373-1375. 10.1109/ICDE.2008.4497560. Available from, DOI: 10.1109/ICDE.2008.4497560