CICI: UCSS: Enhancing Integrity and Confidentiality for Secure Distributed Data Sharing

CICI：UCSS：增强安全分布式数据共享的完整性和保密性

• 批准号: 2114202
• 负责人: Subhashini Sivagnanam
• 金额: $ 50万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114202&HistoricalAwards=false
• 关键词: CICI; UCSS; Enhancing; Integrity; Confidentiality

The promised benefit of research data sharing lies in the ability to reuse the data. While many scientific disciplines are starting to share data, there are others who are restricted in the data they can share and with whom they can share. More and more interdisciplinary research and cross-institutional science collaborations are conducted on datasets that result from multiple funding sources with different constraints and policies and are stored in repositories that require specific metadata standards and formats and are subject to access restrictions. Providing a secure method to efficiently share and verify the data and metadata while maintaining privacy restrictions becomes necessary for the reuse of the scientific data.The Open Science Chain – Integrity Services (OSC-IS) strengthens cybersecurity controls with the application of blockchain technology primitives to preserve the integrity and the provenance of public and private data assets on research platforms and hubs. For private data assets, additional consideration of confidentiality exists, which may extend to fields in metadata. OSC-IS leverages a combination of smart contracts and off-chain storage to ensure the data confidentiality and privacy in sharing private research data in collaborative research. The project creates an API-based data integrity verification management service for data-driven research platforms and hubs that will reduce data information loss and build support for managing various metadata standards and access controls. The project enhances the security and trustworthiness in scientific data sharing that leads to increased usage in exploration and utilization of datasets within scientific communities. OSC-IS informs a wide array of different areas, including best practices in data management, demonstrating the use of blockchain in academic research, and incorporating computer security in education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

研究数据共享的承诺好处在于能够重用数据。尽管许多科学学科开始共享数据，但还有一些人受到共享数据的限制以及与他们共享的人。越来越多的跨学科研究和跨机构科学合作是在数据集中进行的，这些数据集由多个具有不同限制和政策的资金来源产生的数据集进行，并存储在需要特定的元数据标准和格式的存储库中，并受到访问限制。提供一种安全的方法来有效共享和验证数据和元数据，同时维持隐私限制对于重新使用科学数据是必要的。开放科学链 - 诚信服务（OSC-IS）优势通过应用区块链技术隐私来保留公共和私人数据在研究平台和研究平台上的诚信和私人数据的出处，从而实现网络安全控制。对于私人数据资产，存在对机密性的其他考虑，这可能会扩展到元数据中的字段。 OSC-IS利用智能合约和离链存储的结合，以确保数据机密性和隐私在协作研究中共享私人研究数据时。该项目为数据驱动的研究平台和枢纽创建了基于API的数据完整性验证管理服务，该服务将减少数据信息丢失并为管理各种元数据标准和访问控制提供支持。该项目增强了科学数据共享中的安全性和可信度，从而增加了科学社区中数据集勘探和利用的使用情况。 OSC-IS告知各个领域，包括数据管理方面的最佳实践，证明区块链在学术研究中的使用以及提高了教育中的计算机安全性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来进行评估的。