A Privacy-preserving Outsourcing Scheme for Zero-knowledge Proof Generation

• Item type: Journal(1)
• 公開日: 2022-02-15
• タイトル: A Privacy-preserving Outsourcing Scheme for Zero-knowledge Proof Generation
• タイトル / 言語: en
• タイトル: A Privacy-preserving Outsourcing Scheme for Zero-knowledge Proof Generation
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（テクニカルノート）] privacy-preserving outsourcing, zero-knowledge proofs, zk-SNARK
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Data and Security Research Laboratory, Fujitsu Limited
• 著者所属: Data and Security Research Laboratory, Fujitsu Limited
• 著者所属: Data and Security Research Laboratory, Fujitsu Limited
• 著者所属(英): en
• 著者所属(英): Data and Security Research Laboratory, Fujitsu Limited
• 著者所属(英): en
• 著者所属(英): Data and Security Research Laboratory, Fujitsu Limited
• 著者所属(英): en
• 著者所属(英): Data and Security Research Laboratory, Fujitsu Limited
• 著者名: Makoto, Nakamura; Takeshi, Miyamae; Masanobu, Morinaga
• 著者名(英): Makoto, Nakamura; Takeshi, Miyamae; Masanobu, Morinaga
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We propose a privacy-preserving scheme to outsource zero-knowledge proof generation to a party that we call a worker. Our scheme can be applied to zk-SNARKs with a trusted setup, zero-knowledge proofs deployed in many applications. Compared to known privacy-preserving outsourcing schemes, our scheme is more practical in the sense that the computational and memory load on the worker is almost the same as that on the prover in cases where the provers generate proofs on their own.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.151; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We propose a privacy-preserving scheme to outsource zero-knowledge proof generation to a party that we call a worker. Our scheme can be applied to zk-SNARKs with a trusted setup, zero-knowledge proofs deployed in many applications. Compared to known privacy-preserving outsourcing schemes, our scheme is more practical in the sense that the computational and memory load on the worker is almost the same as that on the prover in cases where the provers generate proofs on their own.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.30(2022) (online); DOI http://dx.doi.org/10.2197/ipsjjip.30.151; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 63, 号 2, 発行日 2022-02-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764