Title :
Assignment of SW using statistical based data model in SW-SDF based personal privacy with QIDB-anonymization method
Author :
Kiran, Pvk ; Kumar, Sahoo Subhendu ; Hemanth, S. ; Kavya, N.P.
Author_Institution :
Dept. of CSE, RNSIT, Bangalore, India
Abstract :
Privacy preserving data publishing is an important direction in privacy preserving data mining which focuses on ensuring privacy of individual data when it is released for mining. SW-SDF personalized privacy preservation uses two flags SW & SDF to improve data utilization and privacy. This method also gives more privacy to record values which are actually sensitive as compared to algorithms where privacy is applied for all the records. In SW-SDF system SW is manually applied which has been improved by using statistical inference and thereby improving the system. Experimental results show that the overhead of implementing this approach is minimal and can be incorporated.
Keywords :
data mining; data models; data privacy; publishing; statistical analysis; QIDB-anonymization method; SDF flags; SW assignment; SW flags; SW-SDF system SW; SW-SDF-based personal privacy; data privacy; data utilization; individual data; privacy preserving data mining; privacy preserving data publishing; statistical inference; statistical-based data model; Diseases; Privacy; XML; Privacy; Privacy Preserving Data Publishing(PPDP); PrivacyPreserving Data Mining(PPDM);
Conference_Titel :
Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4673-2922-4
DOI :
10.1109/PDGC.2012.6449928