Efficient private multi-party numerical records matching
Shumin HAN, Derong SHEN, Tiezheng NIE, Yue KOU, Ge YU
Efficient private multi-party numerical records matching
[1] |
Vatsalan D, Christen P, Verykios V S. A taxonomy of privacypreserving record linkage techniques. Information Systems Journal, 2013, 38(6): 946–969
CrossRef
Google scholar
|
[2] |
Verykios V S, Karakasidis A, Mitrogiannis V. Privacy preserving record linkage approaches. International Journal of DataMining, Modelling and Management, 2009, 1(2): 206–221
CrossRef
Google scholar
|
[3] |
Churches T, Christen P. Some methods for blindfolded record linkage. BMC Medical Informatics and Decision Making, 2004, 4(1): 9
CrossRef
Google scholar
|
[4] |
O’Keefe C, Yung M, Gu L, Baxter R. Privacy-preserving data linkage protocols. In: Processings of ACM Workshop on Privacy in the Electronic Society. 2004, 94–102
CrossRef
Google scholar
|
[5] |
Trepetin S. Privacy-preserving string comparisons in record linkage systems: a review. Information Security Journal: A Global Perspective, 2008, 17(5–6): 253–266
CrossRef
Google scholar
|
[6] |
Ravikumar P, Cohen W, Fienberg S. A secure protocol for computing string distance metrics. In: Processings of IEEE Workshop on Privacy and Security Aspects of Data Mining Held at ICDM. 2004, 40–46
|
[7] |
Vatsalan D, Christen P. Privacy-preserving matching of similar patients. Journal of Biomedical Informatics, 2016, 59: 285–298
CrossRef
Google scholar
|
[8] |
Xiang G L, Chen X M. Homomorapic encryption scheme in the range of the real. Journal of Computer Engineering Application, 2005, 20: 12–14
|
/
〈 | 〉 |