An efficient private evaluation of a decision graph

Hiroki Sudo, Koji Nuida, Kana Shimizu

    研究成果: Conference contribution

    抄録

    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.

    元の言語English
    ホスト出版物のタイトルInformation Security and Cryptology – ICISC 2018 - 21st International Conference, Revised Selected Papers
    編集者Kwangsu Lee
    出版者Springer-Verlag
    ページ143-160
    ページ数18
    ISBN(印刷物)9783030121457
    DOI
    出版物ステータスPublished - 2019 1 1
    イベント21st International Conference on Information Security and Cryptology, ICISC 2018 - Seoul, Korea, Republic of
    継続期間: 2018 11 282018 11 30

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    11396 LNCS
    ISSN(印刷物)0302-9743
    ISSN(電子版)1611-3349

    Other

    Other21st International Conference on Information Security and Cryptology, ICISC 2018
    Korea, Republic of
    Seoul
    期間18/11/2818/11/30

    Fingerprint

    Laptop computers
    Communication
    Evaluation
    Graph in graph theory
    Data structures
    Labels
    Classifiers
    Query
    Experiments
    Scenarios
    Degree Sequence
    Communication Complexity
    Unary
    Vertex of a graph
    Time Complexity
    Data Structures
    Classifier
    Evaluate
    Experiment

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

    これを引用

    Sudo, H., Nuida, K., & Shimizu, K. (2019). An efficient private evaluation of a decision graph. : K. Lee (版), 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); 巻数 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. 版 / 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); 巻 11396 LNCS).

    研究成果: Conference contribution

    Sudo, H, Nuida, K & Shimizu, K 2019, An efficient private evaluation of a decision graph. : K Lee (版), 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), 巻. 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. : Lee K, 編集者, 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. 編集者 / 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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