TY - GEN
T1 - Privacy-preserving data publishing
AU - Liu, Ruilin
AU - Wang, Hui
PY - 2010
Y1 - 2010
N2 - Data publishing has generated much concern on individual privacy. Recent work has focused on different background knowledge and their various threats to the privacy of published data. However, there still exist a few types of adversary knowledge waiting to be investigated. In this paper, I explain my research on privacy-preserving data publishing (PPDP) by using full functional dependencies (FFDs) as part of adversary knowledge. I also briefly explain my research plan
AB - Data publishing has generated much concern on individual privacy. Recent work has focused on different background knowledge and their various threats to the privacy of published data. However, there still exist a few types of adversary knowledge waiting to be investigated. In this paper, I explain my research on privacy-preserving data publishing (PPDP) by using full functional dependencies (FFDs) as part of adversary knowledge. I also briefly explain my research plan
UR - http://www.scopus.com/inward/record.url?scp=77952649169&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952649169&partnerID=8YFLogxK
U2 - 10.1109/ICDEW.2010.5452722
DO - 10.1109/ICDEW.2010.5452722
M3 - Conference contribution
AN - SCOPUS:77952649169
SN - 9781424465217
T3 - Proceedings - International Conference on Data Engineering
SP - 305
EP - 308
BT - ICDE Workshops 2010 - The 2010 IEEE 26th International Conference on Data Engineering Workshops
T2 - 2010 IEEE 26th International Conference on Data Engineering Workshops, ICDEW 2010
Y2 - 1 March 2010 through 6 March 2010
ER -