An efficient private evaluation of a decision graph

Hiroki Sudo; Koji Nuida; Kana Shimizu

doi:10.1007/978-3-030-12146-4_10

An efficient private evaluation of a decision graph

Hiroki Sudo, Koji Nuida, Kana Shimizu

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

Abstract

A decision graph is a well-studied classifier and has been used to solve many real-world problems. We assumed a typical scenario between two parties in this study, in which one holds a decision graph and the other wants to know the class label of his/her query without disclosing the graph and query to the other. We propose a novel protocol for this scenario that can obliviously evaluate a graph that is designed by an efficient data structure called the graph level order unary degree sequence (GLOUDS). The time and communication complexities of this protocol are linear to the number of nodes in the graph and do not include any exponential factors. The experiment results revealed that the actual runtime and communication size were well concordant with theoretical complexities. Our method can process a graph with approximately 500 nodes in only 11 s on a standard laptop computer. We also compared the runtime of our method with that of previous methods and confirmed that it was one order of magnitude faster than the previous methods.

Original language	English
Title of host publication	Information Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers
Editors	Kwangsu Lee
Publisher	Springer-Verlag
Pages	143-160
Number of pages	18
ISBN (Print)	9783030121457
DOIs	https://doi.org/10.1007/978-3-030-12146-4_10
Publication status	Published - 2019 Jan 1
Event	21st International Conference on Information Security and Cryptology, ICISC 2018 - Seoul, Korea, Republic of Duration: 2018 Nov 28 → 2018 Nov 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11396 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	21st International Conference on Information Security and Cryptology, ICISC 2018
Country	Korea, Republic of
City	Seoul
Period	18/11/28 → 18/11/30

Keywords

Decision graph
GLOUDS
Homomorphic encryption

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-12146-4_10

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Cite this

Sudo, H., Nuida, K., & Shimizu, K. (2019). An efficient private evaluation of a decision graph. In K. Lee (Ed.), Information Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers (pp. 143-160). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11396 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-12146-4_10

An efficient private evaluation of a decision graph. / Sudo, Hiroki; Nuida, Koji; Shimizu, Kana.

Information Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers. ed. / Kwangsu Lee. Springer-Verlag, 2019. p. 143-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11396 LNCS).

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

Sudo, H, Nuida, K & Shimizu, K 2019, An efficient private evaluation of a decision graph. in K Lee (ed.), Information Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11396 LNCS, Springer-Verlag, pp. 143-160, 21st International Conference on Information Security and Cryptology, ICISC 2018, Seoul, Korea, Republic of, 18/11/28. https://doi.org/10.1007/978-3-030-12146-4_10

Sudo H, Nuida K, Shimizu K. An efficient private evaluation of a decision graph. In Lee K, editor, Information Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers. Springer-Verlag. 2019. p. 143-160. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-12146-4_10

Sudo, Hiroki ; Nuida, Koji ; Shimizu, Kana. / An efficient private evaluation of a decision graph. Information Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers. editor / Kwangsu Lee. Springer-Verlag, 2019. pp. 143-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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