Blockchain-empowered Contact Tracing for COVID-19 Using Crypto-spatiotemporal Information

使用加密时空信息进行区块链支持的 COVID-19 接触者追踪

• 批准号: 21K17737
• 负责人: 文 鄭
• 金额: $ 3万
• 依托单位: Waseda University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K17737/
• 关键词: Spatiotemporal info; Blockchain; TEE; IoT; GNSS Spoofing; COVID-19; close contact tracing; blockchain; spatiotemporal info.

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.

今年，我们的研究重点是提高时空数据的可信度和完善认证技术。我们通过进行GNSS欺骗实验来解决民用全球导航卫星系统（GNSS）设备的安全缺陷。我们的分析导致了创新的策略，可以帮助设备识别GNSS欺骗并获取精确的时空数据。同时，我们在时空信息认证方面取得了进展。认识到安全和准确的地理位置数据的重要性，我们探索了新的验证方法。我们结合了加密技术，安全传输协议和TEE解决方案，以增强时空数据的可靠性和可信度。

项目成果

k Nearest Neighbor Similarity Join Algorithm on High-Dimensional Data Using Novel Partitioning Strategy

• DOI: 10.1155/2022/1249393
• 发表时间: 2022-04
• 期刊: Security and Communication Networks
• 作者: Youzhong Ma;Qiaozhi Hua;Zheng Wen;Ruiling Zhang;Yongxin Zhang;Haipeng Li

信頼性の高い位置情報獲得のための偽装データの検出

检测伪造数据以获取可靠的位置信息

• 发表时间: 2022
• 作者: 佐藤俊雄;文鄭;竹内健;爲末和彦;勝山裕;佐古和恵;甲藤二郎;佐藤拓朗
• 通讯作者: 佐藤拓朗

Position estimation of pedestrians in surveillance video using face detection and simple camera calibration

使用人脸检测和简单的摄像机校准来估计监控视频中的行人位置

• 发表时间: 2021
• 作者: Toshio Sato;Xin Qi;Keping Yu;Zheng Wen;Yutaka Katsuyama;Takuro Sato
• 通讯作者: Takuro Sato

Biomedical sensor image segmentation algorithm based on improved fully convolutional network

• DOI: 10.1016/j.measurement.2022.111307
• 发表时间: 2022-05-16
• 期刊: MEASUREMENT
• 影响因子: 5.6
• 作者: Li, Hongan;Fan, Jiangwen;Yang, Meng
• 通讯作者: Yang, Meng

Adaptive Differential Evolution Algorithm with Simulated Annealing for Security of IoT Ecosystems

• DOI: 10.1155/2022/6951849
• 发表时间: 2022-04
• 期刊: Wireless Communications and Mobile Computing
• 作者: Qianqian Liu;Xiaoyan Zhang;Qiaozhi Hua;Zheng Wen;Haipeng Li