Safeguarding the unseen: a study on data privacy in DeFi protocols

Zhuangtong Huang, Jiawei Zhu, Zhongyu Huang, Yixin Xu, Jerome Yen, Ye Wang
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Abstract

The financial sector's adoption of technology-driven data analysis has enhanced operational efficiency and revenue generation by leveraging personal sensitive data. However, the inherent characteristics of blockchain hinder decentralized finance (DeFi) from accessing necessary sensitive user data. To address this challenge, we introduce a protocol that both safeguards user privacy and ensures data availability through the incorporation of homomorphic encryption and zero-knowledge-proof techniques in blockchain technology. This novel protocol helps mitigate privacy risks caused by sensitive data leaks while improving the capital efficiency of the DeFi market. Furthermore, we explore the applicability of these privacy-preserving methods in on-chain ecosystems and cross-border financial applications. Our solution contributes to secure, user-centric solutions for DeFi while upholding principles of decentralization and privacy protection.
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保护看不见的:DeFi协议中数据隐私的研究
金融部门采用技术驱动的数据分析,通过利用个人敏感数据提高了运营效率和创收能力。然而,区块链的固有特征阻碍了去中心化金融(DeFi)访问必要的敏感用户数据。为了应对这一挑战,我们引入了一种协议,该协议既保护用户隐私,又通过在区块链技术中结合同态加密和零知识证明技术确保数据可用性。该协议有助于降低敏感数据泄露带来的隐私风险,同时提高DeFi市场的资本效率。此外,我们还探讨了这些隐私保护方法在链上生态系统和跨境金融应用中的适用性。我们的解决方案有助于为DeFi提供安全的、以用户为中心的解决方案,同时坚持去中心化和隐私保护的原则。
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