| Project/Area Number |
23KJ0385
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| Research Category |
Grant-in-Aid for JSPS Fellows
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| Allocation Type | Multi-year Fund |
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| Section | 国内 |
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| Review Section |
Basic Section 60020:Mathematical informatics-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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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| Project Period (FY) |
2023-04-25 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥1,800,000 (Direct Cost: ¥1,800,000)
Fiscal Year 2024: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2023: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | Property Preserving / Cryptographic Protocol / Blockchain / DAG-based Consensus |
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| Outline of Research at the Start |
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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| Outline of Annual Research Achievements |
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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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
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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| Strategy for Future Research Activity |
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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