DocumentCode :
659640
Title :
Secure Decoupled Linkage (SDLink) system for building a social genome
Author :
Hye-Chung Kum ; Krishnamurthy, Arvind ; Pathak, Divya ; Reiter, Michael K. ; Ahalt, Stan
fYear :
2013
fDate :
6-9 Oct. 2013
Firstpage :
7
Lastpage :
11
Abstract :
Population informatics is the systematic study of populations via secondary analysis of massive data collections about people, called the social genome. A major challenge in building the social genome is the difficulty in data integration of heterogeneous and uncoordinated data while protecting the confidentiality of the data subjects. Here, we present our work in designing a flexible computerized third party linkage platform, Secure Decoupled Linkage (SDLink), which can provide both privacy protection and accurate high quality integrated data using a hybrid human-machine data integration system. Our evaluation results show that chaffing used in combination with universe manipulation is very effective in blocking inferences during the clerical review process.
Keywords :
data analysis; data integration; data privacy; demography; social sciences computing; SDLink; clerical review process; data integration; flexible computerized third party linkage platform; heterogeneous data; hybrid human-machine data integration system; massive data collections secondary analysis; population informatics; privacy preserving record linkage; privacy protection; secure decoupled linkage; social genome; uncoordinated data; universe manipulation; Cancer; Couplings; Data privacy; Educational institutions; Genomics; Sociology; Statistics; decoupled data; privacy preserving record linkage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
Type :
conf
DOI :
10.1109/BigData.2013.6691789
Filename :
6691789
Link To Document :
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