Secure Graph Analysis at Scale

Toshinori Araki; Jun Furukawa; Kazuma Ohara; Benny Pinkas; Hanan Rosemarin; Hikaru Tsuchida

doi:10.1145/3460120.3484560

Secure Graph Analysis at Scale

Toshinori Araki, Jun Furukawa, Kazuma Ohara, Benny Pinkas, Hanan Rosemarin, Hikaru Tsuchida

Department of Computer Science

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

38 Scopus citations

Abstract

We present a highly-scalable secure computation of graph algorithms, which hides all information about the topology of the graph or other input values associated with nodes or edges. The setting is where all nodes and edges of the graph are secret-shared between multiple servers, and a secure computation protocol is run between these servers. While the method is general, we demonstrate it in a 3-server setting with an honest majority, with either semi-honest security or full security. A major technical contribution of our work is replacing the usage of secure sort protocols with secure shuffles, which are much more efficient. Full security against malicious behavior is achieved by adding an efficient verification for the shuffle operation, and computing circuits using fully secure protocols. We demonstrate the applicability of this technology by implementing two major algorithms: computing breadth-first search (BFS), which is also useful for contact tracing on private contact graphs, and computing maximal independent set (MIS). We implement both algorithms, with both semi-honest and full security, and run them within seconds on graphs of millions of elements.

Original language	English
Title of host publication	CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security
Publisher	Association for Computing Machinery
Pages	610-629
Number of pages	20
ISBN (Electronic)	9781450384544
DOIs	https://doi.org/10.1145/3460120.3484560
State	Published - 12 Nov 2021
Event	27th ACM Annual Conference on Computer and Communication Security, CCS 2021 - Virtual, Online, Korea, Republic of Duration: 15 Nov 2021 → 19 Nov 2021

Publication series

Name	Proceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)	1543-7221

Conference

Conference	27th ACM Annual Conference on Computer and Communication Security, CCS 2021
Country/Territory	Korea, Republic of
City	Virtual, Online
Period	15/11/21 → 19/11/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Funding

∗Kazuma Ohara worked on this project while he was at NEC. †The work pf Benny Pinkas and Hanan Rosemarin was partly supported by the BIU Center for Research in Applied Cryptography and Cyber Security in conjunction with the Israel National Cyber Bureau in the Prime Minister’s Office.

Keywords

MPC
oblivious shuffle
oblivious sort
secure multi-party computation

Access to Document

10.1145/3460120.3484560

Cite this

Araki, T., Furukawa, J., Ohara, K., Pinkas, B., Rosemarin, H., & Tsuchida, H. (2021). Secure Graph Analysis at Scale. In CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (pp. 610-629). (Proceedings of the ACM Conference on Computer and Communications Security). Association for Computing Machinery. https://doi.org/10.1145/3460120.3484560

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Araki, T, Furukawa, J, Ohara, K, Pinkas, B, Rosemarin, H & Tsuchida, H 2021, Secure Graph Analysis at Scale. in CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Proceedings of the ACM Conference on Computer and Communications Security, Association for Computing Machinery, pp. 610-629, 27th ACM Annual Conference on Computer and Communication Security, CCS 2021, Virtual, Online, Korea, Republic of, 15/11/21. https://doi.org/10.1145/3460120.3484560

Secure Graph Analysis at Scale. / Araki, Toshinori; Furukawa, Jun; Ohara, Kazuma et al.
CCS 2021 - Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, 2021. p. 610-629 (Proceedings of the ACM Conference on Computer and Communications Security).

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

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Secure Graph Analysis at Scale

Abstract

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Keywords

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