Secure Data Collaborative Computing Scheme Based on Blockchain
Author(s) -
Tao Feng,
Xusheng Wang,
Chunyan Liu,
Junli Fang
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/6630291
Subject(s) - computer science , blockchain , data sharing , bloom filter , scheme (mathematics) , secret sharing , computer security , voting , cryptography , computer network , medicine , mathematical analysis , alternative medicine , mathematics , pathology , politics , political science , law
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. ,e MPC contract is designed according to the specific requirements. ,e 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. ,e problem of identity and vote privacy in electronic voting is solved. ,e scheme is analyzed and discussed from storage expansion, anticollusion, verifiability, and privacy.
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