Assignment of SW using statistical based data model In SW-SDF based personal privacy with QIDB-anonymization method

被引：0
|
作者：
Kiran, P. [1 ]
Kumar, S. Sathish [2 ]
Hemanth, S. [1 ]
Kavya, N. P. [3 ]
机构：
[1] RNSIT, Dept CS&E, Bangalore, Karnataka, India
[2] Dr MGR Educ Res Inst Univ, Madras, Tamil Nadu, India
[3] RNSIT, Dept MCA, Bangalore, Karnataka, India
来源：
2012 2ND IEEE INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC) | 2012年
关键词：
PrivacyPreserving Data Mining(PPDM); Privacy Preserving Data Publishing(PPDP); Privacy;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：816 / 821
页数：6
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