| 研究課題/領域番号 |
23KJ0385
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| 研究種目 |
特別研究員奨励費
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| 配分区分 | 基金 |
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| 応募区分 | 国内 |
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| 審査区分 |
小区分60020:数理情報学関連
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| 研究機関 | 東京大学 |
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研究代表者 |
劉 可揚 東京大学, 情報理工学系研究科, 特別研究員(DC2)
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| 研究期間 (年度) |
2023-04-25 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
1,800千円 (直接経費: 1,800千円)
2024年度: 900千円 (直接経費: 900千円)
2023年度: 900千円 (直接経費: 900千円)
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| キーワード | Property Preserving / Cryptographic Protocol / Blockchain / DAG-based Consensus |
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| 研究開始時の研究の概要 |
Personal Identifiable Information (PII) is a crucial data for all citizens and must be handled with care since this data can be used to identify a person physically. This research will utilize new homomorphic hash technology to develop a PII circulation system that empowers users to control how their data is utilized without worrying about data leakage.
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| 研究実績の概要 |
1. We propose a framework for digesting private data to protect privacy while revealing specific properties to certain users. With our scheme, the user can create a hash for his data, revealing only a pre-defined property and supporting homomorphic computation.
2. From the application's perspective, we propose optimizing the DAG-based blockchain consensus algorithm to improve latency and user experience. With our protocol, new blockchains can enjoy the high TPS of DAG-based consensus with better transaction latency and verifiable transaction results.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
This research project aims to create a framework for collecting personal, private data. In the last year, we have made two parallel progresses: the way of handling data and the platform for committing data.
We also improved the DAG-based blockchain consensus algorithm for better latency. We hope blockchain technology can have better performance and lower costs so society can eventually use it in more fields.
We also investigated using new cryptographic primitives to publicly use private data without privacy concerns. We typically use a property-preserving hash to hide sensitive information while using homomorphism for better availability.
All the above works are published in international conferences, and the latter won the IEEE Best awards.
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| 今後の研究の推進方策 |
The following works are primarily about connecting the property-preserving data with the committed data in a private way. We are considering using zero-knowledge proof to fill the gap. Thus, when a user commits his verified data set (e.g., a private profile), he can link a property-preserving hash with the whole chain and prove there is a committed certificate that has the data result in this hash. Eventually, the user can commit a data set on blockchain, proving a hash through our property preserving hash and using the zero knowledge proof to prove the link between the hash and the data.
In addition, we are also considering on-chain multi-party computation as an application and studying its potential usage for people to use their data without worrying about privacy leakage.
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