| 研究課題/領域番号 |
21K17737
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分60060:情報ネットワーク関連
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| 研究機関 | 早稲田大学 |
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研究代表者 |
文 鄭 早稲田大学, 理工学術院, 准教授(任期付) (70822261)
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| 研究期間 (年度) |
2021-04-01 – 2026-03-31
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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 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2025年度: 390千円 (直接経費: 300千円、間接経費: 90千円)
2024年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2023年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2022年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
2021年度: 1,820千円 (直接経費: 1,400千円、間接経費: 420千円)
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| キーワード | Spatiotemporal info / Blockchain / TEE / IoT / GNSS Spoofing / COVID-19 / close contact tracing / blockchain / spatiotemporal info. |
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| 研究開始時の研究の概要 |
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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| 研究実績の概要 |
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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| 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
The project is progressing smoothly, and all research is proceeding as planned.
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| 今後の研究の推進方策 |
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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