Secure Multi-Party Computing for Financial Sector Based on Blockchain

Data dominates in finance, which is significant. The financial industry needs a cross-institutional data circulation mechanism to promote development, but data sharing faces challenges such as low credibility, low sharing efficiency, and privacy security issues, and there are still data islands and security sharing problems. Combining the characteristics of blockchain and privacy computing technology, this paper designs a secure and efficient multi-party computing model based on blockchain to find the balance between privacy and practicality of financial data and solve the tense situation in the financial industry to the greatest extent. Considering the limitations of blockchain storage and computing power, the solution in this paper is to introduce IPFS to combine on-chain storage data with on-chain indexing as a storage environment, and to introduce cloud networks as computing centers.

数据在金融领域占据主导地位，这具有重要意义。金融业需要一种跨机构的数据流通机制来促进发展，但数据共享面临可信度低、共享效率低以及隐私安全问题等挑战，并且仍然存在数据孤岛和安全共享问题。结合区块链和隐私计算技术的特点，本文设计了一种基于区块链的安全高效的多方计算模型，以找到金融数据隐私性和实用性之间的平衡，并在最大程度上解决金融业的紧张局面。考虑到区块链存储和计算能力的局限性，本文的解决方案是引入IPFS，将链上存储数据与链上索引相结合作为存储环境，并引入云网络作为计算中心。