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Data degradation: making private data less sensitive over time
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Conference on Information and Knowledge Management archive
Proceeding of the 17th ACM conference on Information and knowledge management table of contents
Napa Valley, California, USA
POSTER SESSION: Poster session 2 database table of contents
Pages 1401-1402  
Year of Publication: 2008
ISBN:978-1-59593-991-3
Authors
Nicolas Anciaux  INRIA Rocquencourt, Le Chesnay, France
Luc Bouganim  INRIA Rocquencourt, Le Chesnay, France
Harold van Heerde  University of Twente, Enschede, Netherlands
Philippe Pucheral  INRIA Rocquencourt, Le Chesnay, and University of Versailles, Versailles, France
Peter M.G. Apers  University of Twente, Enschede, Netherlands
Sponsors
ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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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 sensi-tive, version of the data. Data will be progressively degraded such that it still serves application purposes, while decreasing accuracy and thus privacy sensitivity.




Collaborative Colleagues:
Nicolas Anciaux: colleagues
Luc Bouganim: colleagues
Harold van Heerde: colleagues
Philippe Pucheral: colleagues
Peter M.G. Apers: colleagues