Fujitsu Develops Technology to Improve Reliability of Data Distribution Across Industries
September 20, 2018 | FujitsuEstimated reading time: 5 minutes
Fujitsu Laboratories Ltd. today announced that it has developed "ChainedLineage," a blockchain extension technology that enables the safe use of data obtained from a variety of companies and individuals, confirming its provenance and processing history. Data that can be used by companies often consists of data from multiple sources, and in many cases has been processed in stages by multiple companies. For companies using such data, it is important to ensure the reliability of the data they obtain, and they currently need to trace back the provenance of each data. There are also issues with obtaining data that complies with regulations such as Japan's Act on the Protection of Personal Information or Europe's GDPR. Because this newly developed technology enables uniform management of information on the provenance of data published by companies and other organizations, users can easily trace the history of data processing as it passed through multiple companies and efficiently obtain data from individuals who have provided their consent. Fujitsu Laboratories aims to create a society with trustworthy data by applying this technology to various fields that utilize data.
Development Background
In recent years, there has been an increasing trend toward the creation of new services using the massive amounts of data generated by various devices, from individual smartphones to corporate IoT systems. In addition, governments have promoted municipalities, companies and organizations to proactively use their data across industries. The activities of data utilization are therefore expected to expand even further going forward. As technologies for using and analyzing large volumes of data, such as big data and AI, gain prominence, the accountability of related services will be compromised if inadequate data is mixed into those used by companies. Moreover, with the implementation of laws protecting personal information, particularly the GDPR, it has become necessary to confirm individual consent before providing personal information to third party companies. This has in turn made it essential to find a way to proactively use data while preserving transparency. As multiple companies and organizations become involved in the different stages of generation or processing of data that contains personal information, the amount of diverse useful data is increasing, while there are concerns regarding data reliability due to the growing number of people handling the data. As a result, there has been more demand to understand the origin of data.
Issues
Because the majority of data that can be used amongst companies has been processed or combined with other data in some way, it is important to manage information on the provenance of data, including whether it has been processed or analyzed, in what ways, and using what sort of data, in order to ensure the reliability of the data. Conventionally, the management of records relating to the processing and analysis of data was done within each company, and there was no method for integrating and managing the record information scattered across the companies. In addition, in the event there were changes to the objectives of use, content, or destination of the data held by each company, it was necessary to revise the personal consent status of the person providing the data. Moreover, based on the outcome of that consent result, the user of the data needed to spend time to obtain each individual's personal data.
About the Newly Developed Technology
Now, Fujitsu Laboratories has developed a technology for companies to safely manage and share provenance information, from the original source of the data to its current state. This information includes records of data generation and processing, as well as the details for individual consent on providing personal data. The features of this technology are as follows.
1. Technology links recorded data of generated, processed data across multiple companies
Fujitsu Laboratories developed a technology to connect conventional data processing record information scattered across various companies with data transaction information amongst companies shared via blockchain technology in a way that other companies can also confirm, using the hash values of the processing records and the data transaction information themselves. In a data use environment where data generated or processed by one company is used by another company, the data processing record information is linked in a chain across companies. Because this data structure is constituted in such a way that the hash value of the processing record information from the original, data-providing company is included in the transaction record information of the data-receiving company, while the hash value of the transaction record information is included in the processing record information of the data-receiving company, this technology can trace data across companies and detect falsifications.
2. Technology batch collects personal data through condition-specific requests
A consent portal for permission to utilize personal information has been deployed on the data exchange platform of Fujitsu VPX Technology network, using UMA2.0, an access management protocol standard. This will grant data access rights after confirming individual consent for companies requesting their data. In addition, by linking a request to obtain data with specific conditions (such as sex or age) at the time of the request, it becomes possible to collect batches of personal data for multiple people who have already given permission for use of their data.
Effects
With the newly developed technology, companies can now simply and safely check the provenance of information across companies, while improving the reliability of data utilization. The technology also enables companies to obtain data that has already received the individual consent required under GDPR.
Future Plans
Fujitsu Laboratories aims to implement the personal consent control technology supporting the requirements of GDPR as an expanded functionality for Fujitsu Intelligent Data Service Virtuora DX Data Distribution and Utilization Service, a cloud service using blockchain technology for data utilization, within fiscal 2018. The company also plans to conduct field trials of the entire ChainedLineage system, including provenance management across companies, with the goal of commercialization during fiscal 2019.
About Fujitsu Laboratories
Founded in 1968 as a wholly owned subsidiary of Fujitsu Limited, Fujitsu Laboratories Ltd. is one of the premier research centers in the world. With a global network of laboratories in Japan, China, the United States and Europe, the organization conducts a wide range of basic and applied research in the areas of Next-generation Services, Computer Servers, Networks, Electronic Devices and Advanced Materials.
About Fujitsu Ltd
Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 140,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited reported consolidated revenues of 4.1 trillion yen (US $39 billion) for the fiscal year ended March 31, 2018.
Suggested Items
Cybord's Visual AI Solution to Be Integrated with Siemens' Opcenter MES
05/07/2025 | PRNewswireCybord, a leading provider of advanced visual-AI electronic component analytics, and Siemens Digital Industries Software have signed a new OEM agreement to integrate Cybord's cutting-edge AI technology with Siemens' Opcenter™ software for Manufacturing Execution Systems (MES).
SEL Announces 2025-2026 Scholarship Recipients
05/07/2025 | Schweitzer Engineering LaboratoriesSchweitzer Engineering Laboratories (SEL) is pleased to announce the latest recipients of the SEL Scholarship Program for the 2025-2026 academic year. This year, SEL has awarded 15 scholarships, each valued at $5,000, to exceptional students pursuing degrees in engineering and applied technology.
Baker Hughes' Waygate Unveils Nanotom HR for Advanced Inspection
05/06/2025 | Baker HughesWaygate Technologies, a Baker Hughes business and global leader in nondestructive testing (NDT) solutions for industrial inspection, unveiled its new extremely high-resolution computed tomography (CT) system, Phoenix Nanotom® HR (High Resolution) at the Control 2025 show in Stuttgart, Germany.
Hon Hai Research Institute Demonstrates Superiority of Shallow Quantum Circuits Beyond Prior Understanding
05/05/2025 | Hon Hai Technology GroupHon Hai Research Institute (HHRI), in a milestone collaborative effort, has demonstrated that parallel quantum computation can exhibit greater computational power than previously recognized, with its research results accepted for publication in the prestigious journal Nature Communications.
Forge Nano Secures $40M to Scale U.S. Battery Manufacturing and Commercial Semiconductor Equipment Businesses
05/02/2025 | Forge NanoForge Nano, Inc., a technology company pioneering domestic battery and semiconductor innovations, announced the successful close of $40 million in new funding.