Blockchain-empowered Contact Tracing for COVID-19 Using Crypto-spatiotemporal Information
| 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, 講師(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 2022)
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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 focused on enhancing the trustworthiness of spatio-temporal data and refining authentication technologies. We addressed the security shortcomings of civilian Global Navigation Satellite System (GNSS) devices by conducting GNSS spoofing experiments. Our analyses led to innovative strategies that could assist devices in identifying GNSS spoofing and acquiring precise spatio-temporal data.
Simultaneously, we made advancements in spatio-temporal information authentication. Recognizing the importance of secure and accurate geolocation data, we explored new approaches for its validation. We incorporated cryptographic techniques, secure transmission protocols, and TEE solutions to augment the reliability and trustworthiness of spatio-temporal data.
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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
Research Progress: The research is progressing smoothly. We have conducted multiple experiments, tested numerous devices, and gathered a substantial amount of data. This extensive experimental process has allowed us to obtain a comprehensive understanding of the problem at hand, and we have made significant headway towards developing effective solutions for the same. As we continue to analyze the collected data and refine our methodologies, we expect further advancements in the near future.
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| Strategy for Future Research Activity |
For future research, we plan to delve deeper into the area: leveraging artificial intelligence (AI) to detect GNSS attacks on terminal devices
AI has shown great potential in identifying patterns and anomalies that might be indicative of GNSS attacks. We aim to design and implement AI-driven models that can accurately and efficiently detect and mitigate these attacks. Our goal is to enhance the resilience of GNSS devices against spoofing and other forms of attacks, ensuring the integrity of spatio-temporal data and the overall safety of navigation systems.
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Report
(2 results)
Research Products
(24 results)
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[Presentation] GNSS Spoofing Detection using Multiple Sensing Devices and Decision Tree Classifier.2022
Author(s)
Qi, X., Sato, T., Wen, Z., Takeuchi, M., Katsuyama, Y., Tamesue, K., ... & Sato, T.
Organizer
International Conference on Emerging Technologies for Communications
Related Report
Int'l Joint Research
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[Presentation] Ledger-based Points Transfer System in LPWAN: From Disaster Management Aspect2021
Author(s)
Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato
Organizer
2021 International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2021
Related Report
Int'l Joint Research
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[Presentation] Optimizing Packet Transmission for Ledger-Based Points Transfer System in LPWAN: Solutions, Evaluation and Standardization2021
Author(s)
Xin Qi, Keping Yu, Toshio Sato, Kouichi Shibata, Eric Brigham, Takanori Tokutake, Rikiya Eguchi, Yusuke Maruyama, Zheng Wen, Kazuhiko Tamesue, Yutaka Katsuyama, Kazue Sako, Takuro Sato
Organizer
Connecting Physical and Virtual Worlds, ITU K 2021
Related Report
Int'l Joint Research
