| Project/Area Number |
21K17737
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 60060:Information network-related
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| Research Institution | Waseda University |
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Principal Investigator |
文 鄭 早稲田大学, 理工学術院, 准教授(任期付) (70822261)
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| Project Period (FY) |
2021-04-01 – 2026-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2025: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2021: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | Spatiotemporal info / Blockchain / TEE / IoT / GNSS Spoofing / COVID-19 / close contact tracing / blockchain / spatiotemporal info. |
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| Outline of Research at the Start |
This is a close contact tracing solution based on crypto-spatiotemporal information(CSI).It uses a blockchain platform to realize the proof of CSI and uses trusted execution environment(TEE) to ensure trustworthiness and security.It can trace close contacts while protecting personal privacy.
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| Outline of Annual Research Achievements |
This year, our research will focus on balancing privacy protection and the application of spatio-temporal data in the post-pandemic era. We will conduct social experiments and leverage mature commercial products to explore practical and feasible solutions. Our efforts include enhancing GNSS security through comprehensive spoofing experiments to protect against potential threats. Additionally, we will improve spatio-temporal information authentication by implementing advanced cryptographic techniques and Trusted Execution Environment (TEE) solutions to ensure data integrity and reliability.
I will also committed to developing de-identified localization systems using IoT devices, which will help protect user privacy while providing accurate location data. To support this, we will optimize a lightweight blockchain platform based on Low Power Wide Area (LPWA) networks to enable secure and trusted location data management. Furthermore, we aim to extend these solutions to a wider range of platforms and use cases, addressing the evolving needs of the post-pandemic era and ensuring our technologies remain versatile and effective.
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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
The project is progressing smoothly, and all research is proceeding as planned.
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| Strategy for Future Research Activity |
For future work, we plan to focus on integrating more advanced commercial products to enhance the collection of location information, developing low-power solutions to minimize energy consumption, and finding an optimal balance between performance and efficiency. Additionally, we will reevaluate various application scenarios to ensure our solutions are practical and effective.
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