@inproceedings{eb2109fdf60543968ea51ffb7ded21d2,
title = "EARRING: Efficient authentication of outsourced record matching",
abstract = "Cloud computing enables the outsourcing of big data analytics, where a third-party server is responsible for data management and processing. In this paper, we consider the outsourcing model in which a third-party server provides record matching as a service. In particular, given a target record, the service provider returns all records from the outsourced dataset that match the target according to specific distance metrics. Identifying matching records in databases plays an important role in information integration and entity resolution. A major security concern of this outsourcing paradigm is whether the service provider returns the correct record matching results. To solve the problem, we design EARRING, an Efficient Authentication of outsouRced Record matchING framework. EARRING requires the service provider to construct the verification object (VO) of the record matching results. From the VO, the client is able to catch any incorrect result with cheap computational cost. Experiment results on real-world datasets demonstrate the efficiency of EARRING.",
keywords = "Authentication, Integrity, Record matching, Security",
author = "Boxiang Dong and Hui Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 18th IEEE International Conference on Information Reuse and Integration, IRI 2017 ; Conference date: 04-08-2017 Through 06-08-2017",
year = "2017",
month = nov,
day = "8",
doi = "10.1109/IRI.2017.16",
language = "English",
series = "Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "225--234",
editor = "Latifur Khan and Balaji Palanisamy and Chengcui Zhang and Sarvestani, {Sahra Sedigh}",
booktitle = "Proceedings - 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017",
}