DocumentCode
3030366
Title
The Research on Algorithm of Multi-sensitive Based on Personal Anonymity
Author
Peng GuoXing ; Tong Qi ; Chen FangQing ; Liu Qiang
Author_Institution
Sch. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
fYear
2013
fDate
29-30 June 2013
Firstpage
1518
Lastpage
1520
Abstract
Paper first analyzes the major technical database of existing privacy and privacy requirements in more sensitive attribute data released under the scenarios studied in the publishing process more sensitive data privacy issues, pointing out that a single individual more than the corresponding records and the corresponding personal data published anonymously in the privacy protection model number of key issues need to be addressed, including information disclosure risk measure, information loss measure and control the dynamic semantic tree, and induction, summed up the release of existing multi-attribute data privacy-sensitive technology characteristics.
Keywords
data privacy; database management systems; trees (mathematics); dynamic semantic tree control; induction; information disclosure risk measure; information loss measure; multiattribute data privacy-sensitive technology characteristics; multisensitive algorithm; personal anonymity; privacy protection model; privacy requirements; publishing process; sensitive attribute data; technical database; Automation; Manufacturing; multi-sensitive properties; personal anonymity; semantic classification trees; status maintained;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ICDMA.2013.364
Filename
6598288
Link To Document