TY - JOUR
T1 - Rethinking rank swapping to decrease disclosure risk
AU - Nin, J.
AU - Herranz, Javier
AU - Torra, Vicenç
N1 - Funding Information:
Partial support by the Spanish MEC (projects ARES – CONSOLIDER INGENIO 2010 CSD2007-00004 – and eAEGIS – TSI2007-65406-C03-02) is acknowledged. Jordi Nin wants to thank the Spanish Council for Scientific Research (CSIC) for his I3P grant.
Funding Information:
Jordi Nin (Barcelona, Catalonia, 1979; BSc 2004, MSc 2007 both in Computer Science) is a Ph.D. student under the supervision of Dr. Vicenç Torra at the Artificial Intelligence Research Institute (IIIA-CSIC) near Barcelona, Catalonia, Spain. His fields of interests are privacy technologies, machine learning and soft computing tools. He has been involved in several research projects funded by the Catalan and Spanish governments and the European Community. The research done during his Ph.D. had been published in specialized journals and major conferences (around 15 papers).
PY - 2008/1
Y1 - 2008/1
N2 - Nowadays, the need for privacy motivates the use of methods that allow to protect a microdata file both minimizing the disclosure risk and preserving the data utility. A very popular microdata protection method is rank swapping. Record linkage is the standard mechanism used to measure the disclosure risk of a microdata protection method. In this paper we present a new record linkage method, specific for rank swapping, which obtains more links than standard ones. The consequence is that rank swapping has a higher disclosure risk than believed up to now. Motivated by this, we present two new variants of the rank swapping method, which make the new record linkage technique unsuitable. Therefore, the real disclosure risk of these new methods is lower than the standard rank swapping.
AB - Nowadays, the need for privacy motivates the use of methods that allow to protect a microdata file both minimizing the disclosure risk and preserving the data utility. A very popular microdata protection method is rank swapping. Record linkage is the standard mechanism used to measure the disclosure risk of a microdata protection method. In this paper we present a new record linkage method, specific for rank swapping, which obtains more links than standard ones. The consequence is that rank swapping has a higher disclosure risk than believed up to now. Motivated by this, we present two new variants of the rank swapping method, which make the new record linkage technique unsuitable. Therefore, the real disclosure risk of these new methods is lower than the standard rank swapping.
KW - Privacy in statistical databases
KW - Rank swapping
KW - Record linkage
KW - Statistical disclosure risk
UR - http://www.scopus.com/inward/record.url?scp=36048960434&partnerID=8YFLogxK
U2 - 10.1016/j.datak.2007.07.006
DO - 10.1016/j.datak.2007.07.006
M3 - Article
AN - SCOPUS:36048960434
SN - 0169-023X
VL - 64
SP - 346
EP - 364
JO - Data and Knowledge Engineering
JF - Data and Knowledge Engineering
IS - 1
ER -