Nederlands
Contact
Sitemap
Search
OrganisationEEMCS EPrints Service
 |
|
|
||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||
|
|
Anciaux, N.L.G. and Bouganim, L. and van Heerde, H.J.W. and Pucheral, P. and Apers, P.M.G.
(2008)
Data Degradation: Making Private Data Less Sensitive Over Time.
In: Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM2008), 26-30 Oct 2008, Napa valley, California, USA.
pp. 1401-1402.
ACM.
ISBN 978-1-59593-991-3
Full text available as:
Official URL: http://doi.acm.org/10.1145/1458082.1458301  AbstractTrail 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.
Export this item as: To correct this item please ask your editor Repository Staff Only: edit this item |
|
|
||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||
