Book chapter
Privacy-Preserving Data Set Union
Privacy in Statistical Databases, pp.266-276
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2006
DOI: 10.1007/11930242_23
Abstract
This paper describes a cryptographic protocol for merging two or more data sets without divulging those identifying records; technically, the protocol computes a blind set-theoretic union. Applications for this protocol arise, for example, in data analysis for biomedical application areas, where identifying fields (e.g., patient names) are protected by governmental privacy regulations or by institutional research board policies.
Details
- Title: Subtitle
- Privacy-Preserving Data Set Union
- Creators
- Alberto Maria Segre - University of IowaAndrew Wildenberg - Cornell CollegeVeronica Vieland - The Ohio State UniversityYing Zhang - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Privacy in Statistical Databases, pp.266-276
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/11930242_23
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2006
- Academic Unit
- Fraternal Order of Eagles Diabetes Research Center; Nursing; Computer Science
- Record Identifier
- 9984259416702771
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