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k-anonymous microaggregation with preservation of statistical dependence

Author
Rebollo-Monedero, D.; Forne, J.; Soriano, M.; Puiggalí, J.
Type of activity
Journal article
Journal
Information sciences
Date of publication
2016-05-10
Volume
342
First page
1
Last page
23
DOI
https://doi.org/10.1016/j.ins.2016.01.012 Open in new window
Project funding
INRISCO. INcident monitoRing In Smart COmmunities .QoS and Privacy.
Repository
http://hdl.handle.net/2117/92693 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0020025516000141 Open in new window
Abstract
¿-Anonymous microaggregation emerges as an essential building block in statistical disclosure control, a field concerning the postprocessing of the demographic portion of surveys containing sensitive information, in order to safeguard the anonymity of the respondents. Traditionally, this form of microaggregation has been formulated to characterize both the privacy attained and the inherent information loss due to the aggregation of quasi-identifiers, which may otherwise be exploited to reident...
Citation
Rebollo-Monedero, D., Forne, J., Soriano, M. k-anonymous microaggregation with preservation of statistical dependence. "Information sciences", 10 Maig 2016, vol. 342, p. 1-23.
Keywords
microaggregation, predictability, statistical dependence, statistical disclosure control, ¿-Anonymity
Group of research
ISG - Information Security Group
SISCOM - Smart Services for Information Systems and Communication Networks

Participants