TY - GEN
T1 - Increasing polynomial regression complexity for data anonymization
AU - Nin, J.
AU - Pont-Tuset, Jordi
AU - Medrano-Gracia, Pau
AU - Larriba-Pey, Josep L.
AU - Muntés-Mulero, Victor
PY - 2007
Y1 - 2007
N2 - Pervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear regression are widely used for numerical data. However, no attempts have been made to study the effect of using more complex polynomial regression methods. In this paper, we present PoROP-k, a family of anonymizing methods able to protect a data set using polynomial regressions. We show that PoROP-k not only reduces the loss of information, but it also obtains a better level of protection compared to previous proposals based on linear regressions.
AB - Pervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear regression are widely used for numerical data. However, no attempts have been made to study the effect of using more complex polynomial regression methods. In this paper, we present PoROP-k, a family of anonymizing methods able to protect a data set using polynomial regressions. We show that PoROP-k not only reduces the loss of information, but it also obtains a better level of protection compared to previous proposals based on linear regressions.
UR - http://www.scopus.com/inward/record.url?scp=50249115606&partnerID=8YFLogxK
U2 - 10.1109/IPC.2007.103
DO - 10.1109/IPC.2007.103
M3 - Conference contribution
AN - SCOPUS:50249115606
SN - 0769530060
SN - 9780769530062
T3 - Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007
SP - 29
EP - 34
BT - Proceedings The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007
T2 - 2007 International Conference on Intelligent Pervasive Computing, IPC 2007
Y2 - 11 October 2007 through 13 October 2007
ER -