Secure Data Collaborative Computing Scheme Based on Blockchain

Secure Data Collaborative Computing Scheme Based on Blockchain
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基于区块链的安全数据协同计算方案

DOI:
10.1155/2021/6630291
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发表时间:
2021-01
影响因子:
--
通讯作者:
Junli Fang
Junli Fang
中科院分区:
计算机科学4区
文献类型:
--
作者:
Tao Feng;Xusheng Wang;Chunyan Liu;Junli Fang

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随着信息技术的快速发展,不同的组织相互协作,共享数据信息,充分利用数据价值。不仅要保证数据的完整性和隐私性,而且要在数据共享的基础上进行协同计算。为了实现数据安全共享和协同计算的公平性,提出了一种基于区块链的安全数据协同计算方案。为了提高数据查询共享的效率,设计了一种基于Bloom filter的数据存储查询模型。MPC合同是根据具体要求设计的。参与者是理性的,合同鼓励参与者诚实地履行协议,以实现公平计算。介绍了一种基于秘密共享的安全多方计算。解决了电子投票中的身份和投票隐私问题。从存储扩展、防碰撞、可验证性、保密性等方面对该方案进行了分析和讨论。
With the rapid development of information technology, different organizations cooperate with each other to share data information and make full use of data value. Not only should the integrity and privacy of data be guaranteed but also the collaborative computing should be carried out on the basis of data sharing. In this paper, in order to achieve the fairness of data security sharing and collaborative computing, a security data collaborative computing scheme based on blockchain is proposed. A data storage query model based on Bloom filter is designed to improve the efficiency of data query sharing. The MPC contract is designed according to the specific requirements. The participants are rational, and the contract encourages the participants to implement the agreement honestly to achieve fair calculation. A secure multiparty computation based on secret sharing is introduced. The problem of identity and vote privacy in electronic voting is solved. The scheme is analyzed and discussed from storage expansion, anticollusion, verifiability, and privacy.
DOI: 10.1145/266420.266424
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