A hybrid approach to private record matching
dc.authorid | 0000-0002-3149-1565 | |
dc.contributor.author | İnan, Ali | en_US |
dc.contributor.author | Kantarcıoğlu, Murat | en_US |
dc.contributor.author | Ghinita, Gabriel | en_US |
dc.contributor.author | Bertino, Elisa | en_US |
dc.date.accessioned | 2015-01-15T23:02:03Z | |
dc.date.available | 2015-01-15T23:02:03Z | |
dc.date.issued | 2012-10 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.description.abstract | Real-world entities are not always represented by the same set of features in different data sets. Therefore, matching records of the same real-world entity distributed across these data sets is a challenging task. If the data sets contain private information, the problem becomes even more difficult. Existing solutions to this problem generally follow two approaches: sanitization techniques and cryptographic techniques. We propose a hybrid technique that combines these two approaches and enables users to trade off between privacy, accuracy, and cost. Our main contribution is the use of a blocking phase that operates over sanitized data to filter out in a privacy-preserving manner pairs of records that do not satisfy the matching condition. We also provide a formal definition of privacy and prove that the participants of our protocols learn nothing other than their share of the result and what can be inferred from their share of the result, their input and sanitized views of the input data sets (which are considered public information). Our method incurs considerably lower costs than cryptographic techniques and yields significantly more accurate matching results compared to sanitization techniques, even when privacy requirements are high. | en_US |
dc.description.sponsorship | This work was partially supported by Air Force Office of Scientific Research MURI Grant FA9550-08-1-0265, National Institutes of Health Grant 1R01LM009989, US National Science Foundation (NSF) Grant Career-CNS-0845803, and NSF Grants CNS-0964350, CNS-1016343, CNS-1016722 | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | İnan, A., Kantarcıoğlu, M., Ghinita, G. & Bertino, E. (2012). A hybrid approach to private record matching. IEEE Transactions on Dependable and Secure Computing, 9(5), 684-698. doi:10.1109/TDSC.2012.46 | en_US |
dc.identifier.doi | 10.1109/TDSC.2012.46 | |
dc.identifier.endpage | 698 | |
dc.identifier.issn | 1545-5971 | |
dc.identifier.issue | 5 | |
dc.identifier.scopus | 2-s2.0-84864774329 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 684 | |
dc.identifier.uri | https://hdl.handle.net/11729/438 | |
dc.identifier.uri | http://dx.doi.org/10.1109/TDSC.2012.46 | |
dc.identifier.volume | 9 | |
dc.identifier.wos | WOS:000306557900006 | |
dc.identifier.wosquality | Q1 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.institutionauthor | İnan, Ali | en_US |
dc.institutionauthorid | 0000-0002-3149-1565 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | IEEE Computer Soc | en_US |
dc.relation.ispartof | IEEE Transactions on Dependable and Secure Computing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Privacy | en_US |
dc.subject | Security | en_US |
dc.subject | Record matching | en_US |
dc.subject | Anonymization | en_US |
dc.subject | Differential privacy | en_US |
dc.subject | Linkage | en_US |
dc.subject | Accuracy | en_US |
dc.subject | Cryptography | en_US |
dc.subject | Data privacy | en_US |
dc.subject | Databases | en_US |
dc.subject | Protocols | en_US |
dc.subject | Blocking phase | en_US |
dc.subject | Cryptographic techniques | en_US |
dc.subject | Formal privacy definition | en_US |
dc.subject | Hybrid approach | en_US |
dc.subject | Matching condition | en_US |
dc.subject | Privacy requirements | en_US |
dc.subject | Privacy-preserving manner pairs | en_US |
dc.subject | Private information | en_US |
dc.subject | Private record matching | en_US |
dc.subject | Real-world entities | en_US |
dc.subject | Sanitization techniques | en_US |
dc.subject | Pattern matching | en_US |
dc.title | A hybrid approach to private record matching | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |
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