Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection

Allon Adir; Ehud Aharoni; Nir Drucker; Eyal Kushnir; Ramy Masalha; Michael Mirkin; Omri Soceanu

doi:10.1007/978-3-031-16815-4_22

Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection

Allon Adir, Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Michael Mirkin, Omri Soceanu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The amount of data stored in data repositories increases every year. This makes it challenging to link records between different datasets across companies and even internally, while adhering to privacy regulations. Address or name changes, and even different spelling used for entity data, can prevent companies from using private deduplication or record-linking solutions such as private set intersection (PSI). To this end, we propose a new and efficient privacy-preserving record linkage (PPRL) protocol that combines PSI and local sensitive hash (LSH) functions, and runs in linear time. We explain the privacy guarantees that our protocol provides and demonstrate its practicality by executing the protocol over two datasets with 2 ²⁰ records each in 11–45 min, depending on network settings.

Original language	English
Title of host publication	Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings
Editors	Jianying Zhou, Sudipta Chattopadhyay, Sridhar Adepu, Cristina Alcaraz, Lejla Batina, Emiliano Casalicchio, Chenglu Jin, Jingqiang Lin, Eleonora Losiouk, Suryadipta Majumdar, Weizhi Meng, Stjepan Picek, Yury Zhauniarovich, Jun Shao, Chunhua Su, Cong Wang, Saman Zonouz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	398-424
Number of pages	27
ISBN (Print)	9783031168147
DOIs	https://doi.org/10.1007/978-3-031-16815-4_22
State	Published - 2022
Externally published	Yes
Event	Satellite Workshops on AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA 2022, held in conjunction with the 20th International Conference on Applied Cryptography and Network Security, ACNS 2022 - Virtual, Online Duration: 20 Jun 2022 → 23 Jun 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13285 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Satellite Workshops on AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA 2022, held in conjunction with the 20th International Conference on Applied Cryptography and Network Security, ACNS 2022
City	Virtual, Online
Period	20/06/22 → 23/06/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Data security and privacy
Entity resolution
Information privacy
Local sensitive hash
Privacy-preserving record linkage
Private set intersection
Secure two-party computations

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-16815-4_22

Cite this

Adir, A., Aharoni, E., Drucker, N., Kushnir, E., Masalha, R., Mirkin, M., & Soceanu, O. (2022). Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. In J. Zhou, S. Chattopadhyay, S. Adepu, C. Alcaraz, L. Batina, E. Casalicchio, C. Jin, J. Lin, E. Losiouk, S. Majumdar, W. Meng, S. Picek, Y. Zhauniarovich, J. Shao, C. Su, C. Wang, & S. Zonouz (Eds.), Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings (pp. 398-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13285 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16815-4_22

Adir, Allon ; Aharoni, Ehud ; Drucker, Nir et al. / Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings. editor / Jianying Zhou ; Sudipta Chattopadhyay ; Sridhar Adepu ; Cristina Alcaraz ; Lejla Batina ; Emiliano Casalicchio ; Chenglu Jin ; Jingqiang Lin ; Eleonora Losiouk ; Suryadipta Majumdar ; Weizhi Meng ; Stjepan Picek ; Yury Zhauniarovich ; Jun Shao ; Chunhua Su ; Cong Wang ; Saman Zonouz. Springer Science and Business Media Deutschland GmbH, 2022. pp. 398-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection",

abstract = "The amount of data stored in data repositories increases every year. This makes it challenging to link records between different datasets across companies and even internally, while adhering to privacy regulations. Address or name changes, and even different spelling used for entity data, can prevent companies from using private deduplication or record-linking solutions such as private set intersection (PSI). To this end, we propose a new and efficient privacy-preserving record linkage (PPRL) protocol that combines PSI and local sensitive hash (LSH) functions, and runs in linear time. We explain the privacy guarantees that our protocol provides and demonstrate its practicality by executing the protocol over two datasets with 2 20 records each in 11–45 min, depending on network settings.",

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author = "Allon Adir and Ehud Aharoni and Nir Drucker and Eyal Kushnir and Ramy Masalha and Michael Mirkin and Omri Soceanu",

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Adir, A, Aharoni, E, Drucker, N, Kushnir, E, Masalha, R, Mirkin, M & Soceanu, O 2022, Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. in J Zhou, S Chattopadhyay, S Adepu, C Alcaraz, L Batina, E Casalicchio, C Jin, J Lin, E Losiouk, S Majumdar, W Meng, S Picek, Y Zhauniarovich, J Shao, C Su, C Wang & S Zonouz (eds), Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13285 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 398-424, Satellite Workshops on AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA 2022, held in conjunction with the 20th International Conference on Applied Cryptography and Network Security, ACNS 2022, Virtual, Online, 20/06/22. https://doi.org/10.1007/978-3-031-16815-4_22

Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. / Adir, Allon; Aharoni, Ehud; Drucker, Nir et al.
Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings. ed. / Jianying Zhou; Sudipta Chattopadhyay; Sridhar Adepu; Cristina Alcaraz; Lejla Batina; Emiliano Casalicchio; Chenglu Jin; Jingqiang Lin; Eleonora Losiouk; Suryadipta Majumdar; Weizhi Meng; Stjepan Picek; Yury Zhauniarovich; Jun Shao; Chunhua Su; Cong Wang; Saman Zonouz. Springer Science and Business Media Deutschland GmbH, 2022. p. 398-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13285 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Adir A, Aharoni E, Drucker N, Kushnir E, Masalha R, Mirkin M et al. Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. In Zhou J, Chattopadhyay S, Adepu S, Alcaraz C, Batina L, Casalicchio E, Jin C, Lin J, Losiouk E, Majumdar S, Meng W, Picek S, Zhauniarovich Y, Shao J, Su C, Wang C, Zonouz S, editors, Applied Cryptography and Network Security Workshops - ACNS 2022 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, SiMLA, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 398-424. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-16815-4_22