A Framework of Secure Computation as a Service in Decentralized Environment

Xin Pei, Wen-jing Song, Juntao Cao, Songsong Zheng, Xiaochuan Wu
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Abstract

With the increasingly stringent regulatory requirements for data security all around the world, advanced privacy preserving data protection strategies and corresponding secure computation protocols are in urgent needs. The traditional methods for original data transaction and processing may conflict with the data regulation and laws. Thus, the object of data transaction nowadays is no longer the original data, but the encapsulated data services, which seal and combine various computing models and protocols that operate on local data. This paper concludes the cryptography based secure computation protocols including proxy re-encryption (PRE), multiparty computation (MPC), and zero-knowledge proof protocol ($ZK$), then organizes these protocols into smart contract-based layers on blockchain to support verifiable credentials and presentations, authorization-based data re-encryption, and MPC-based data secure computation as well as aggregations with $ZK$ property.
分散环境下的安全计算即服务框架
随着世界各国对数据安全的监管要求越来越严格,迫切需要先进的保护隐私的数据保护策略和相应的安全计算协议。传统的原始数据交易和处理方法可能与数据法规相冲突。因此,如今数据交易的对象不再是原始数据,而是被封装的数据服务,这些服务封装和组合了对本地数据进行操作的各种计算模型和协议。本文总结了基于密码学的安全计算协议,包括代理重加密(PRE)、多方计算(MPC)和零知识证明协议($ZK$),并在区块链上将这些协议组织成基于智能合约的层,以支持可验证凭证和表示、基于授权的数据重加密、基于MPC的数据安全计算以及具有$ZK$属性的聚合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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