私有共享:用于大规模数据共享的安全且保护隐私的去中心化框架

Arun Zachariah, Maha M AlRasheed
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引用次数: 0

摘要

全球各地推出的各种数据和隐私法规要求以安全和隐私保护的方式存储数据。不遵守这些规定将带来严重后果。这导致组织内部形成了巨大的数据孤岛,导致数据分析困难,数据泄露风险增加。隔离数据也阻碍了合作研究。为了解决这个问题,我们提出了Private-Share,这是一个能够安全共享大规模数据的框架。为了实现这一目标,Private-Share利用了区块链技术的最新进展,特别是星际文件系统和以太坊。
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Private-Share: A Secure and Privacy-Preserving De-Centralized Framework for Large Scale Data Sharing
The various data and privacy regulations introduced around the globe, require data to be stored in a secure and privacy-preserving fashion. Non-compliance with these regulations come with major consequences. This has led to the formation of huge data silos within organizations leading to difficult data analysis along with an increased risk of a data breach. Isolating data also prevents collaborative research. To address this, we present Private-Share, a framework that would enable secure sharing of large scale data. In order to achieve this goal, Private-Share leverages the recent advances in blockchain technology specifically the InterPlanetary File System and Ethereum.
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