dc.contributor
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
dc.contributor
Universitat Politècnica de Catalunya. ISG - Grup de Seguretat de la Informació
dc.contributor.author
Mezher, Ahmad Mohamad
dc.contributor.author
Garcia Alvarez, Alejandro
dc.contributor.author
Rebollo Monedero, David
dc.contributor.author
Forné Muñoz, Jorge
dc.identifier
Mezher, A., Garcia, A., Rebollo-Monedero, D., Forne, J. Computational improvements in parallelized k-anonymous microaggregation of large databases. A: IEEE International Conference on Distributed Computing Systems. "Distributed Computing Systems Workshops (ICDCSW), 2017 IEEE 37th International Conference on". Atlanta: 2017, p. 258-264.
dc.identifier
https://hdl.handle.net/2117/112337
dc.identifier
10.1109/ICDCSW.2017.43
dc.description.abstract
The technical contents of this paper fall within the field of statistical disclosure control (SDC), which concerns the postprocessing of the demographic portion of the statistical results of surveys containing sensitive personal information, in order to effectively safeguard the anonymity of the participating respondents. The concrete purpose of this study is to improve the efficiency of a widely used algorithm for k-anonymous microaggregation, known as maximum distance to average vector (MDAV), to vastly accelerate its execution without affecting its excellent functional performance with respect to competing methods. The improvements put forth in this paper encompass algebraic modifications and the use of the basic linear algebra subprograms (BLAS) library, for the efficient parallel computation of MDAV on CPU.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.relation
http://ieeexplore.ieee.org/document/7979826/keywords
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject
Database management
dc.subject
parallelized k-anonymous microaggregation
dc.subject
large databases
dc.subject
statistical disclosure control
dc.subject
sensitive personal information
dc.subject
maximum distance to average vector
dc.subject
algebraic modifications
dc.subject
linear algebra subprograms
dc.subject
parallel computation
dc.subject
Bases de dades -- Gestió
dc.title
Computational improvements in parallelized k-anonymous microaggregation of large databases
dc.type
Conference report
