Highly Reliable IoT Data Management Platform Using Blockchain and Transaction Data Analysis
Highly Reliable IoT Data Management Platform Using Blockchain and Transaction Data Analysis
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DOI：
10.1109/icce46568.2020.9042994
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发表时间：
2020-01
期刊：
影响因子：
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通讯作者：
Yuki Hasegawa;Hiroshi Yamamoto
中科院分区：
文献类型：
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作者：
Yuki Hasegawa;Hiroshi Yamamoto
近年来，基于各种类型的真实世界数据（例如，温度、位置等）在各个领域都引起了关注。然而，系统的行为是基于真实世界的数据决定的，因此如果数据被攻击者篡改，系统可能会导致严重的问题。因此，为了保证真实世界数据的可靠性，许多研究人员研究了利用区块链技术的数据管理平台。区块链可以保证物联网系统存储数据的完整性，但无法保证数据的真实性，因为无法防止未存储在数据库中的数据被篡改。因此，在本研究中，我们提出了一种使用区块链的新数据管理平台，通过保证真实世界数据的完整性和真实性，有助于提供可靠的物联网服务。用于IoT服务的数据在真实的场上连续地生成，并且可能不仅存在终端（例如，智能手机、传感器节点），其是数据的来源，而且也是现场的其他终端。在所提出的平台中，源试图通过请求近端终端生成相同类型的数据来保证数据的真实性。该平台通过比较终端之间的数据和数据更新历史来验证数据的真实性，因为如果没有发生数据篡改，则源的更新历史的趋势应该与合作者的更新历史的趋势几乎相同。为了评估该平台的有效性，我们设计并实现了一个物流系统的数据管理平台。在原型系统中，部署在运输车辆上的源终端持续测量位置信息，并请求车辆附近的行人的智能手机获取用于验证真实性的数据。
In recent years, IoT (Internet of Things) systems that support human activities based on various types of real-world data (e.g., temperature, location, etc.) have been attracting attention in various fields. However, the behavior of the system is decided based on the real-world data, so the system may cause critical issues if the data is tampered by attackers. Therefore, in order to guarantee reliability of the real-world data, a data management platform utilizing blockchain technology has been studied by many researchers. The blockchain can guarantee integrity of the stored data for the IoT system, but cannot guarantee authenticity of the data because tampering of the data that has not been stored on the database yet cannot be prevented.Therefore, in this study, we propose a new data management platform using blockchain that contributes to provide reliable IoT services by guaranteeing both integrity and authenticity of the real-world data. The data for the IoT service is continuously generated on the real field, and there may exist not only a terminal (e.g., smartphone, sensor node) which is an origin of the data but also the other terminals on the field. In the proposed platform, the origin attempts to guarantee authenticity of the data by requesting the near terminals to generate the same types of data. By comparing the data and the update history of the data among the terminals, the proposed platform attempts to verify authenticity of the data because the tendency of the update history of the origin should be almost the same as that of the cooperators if the data tampering did not occur.In order to evaluate effectiveness of the proposed platform, we design and prototype a data management platform for a physical distribution system. In the prototyped system, the origin terminal which is deployed on a transport vehicle continuously measures the location information, and requests smartphones of pedestrians near the vehicle to obtain the data for verifying the authenticity.