Cross-Department Secures Data Sharing in Food Industry via Blockchain-Cloud Fusion Scheme
Author(s) -
Qi Tao,
Qingbin Chen,
Hongwei Ding,
I. Adnan,
Xiaoxu Huang,
Xiaohui Cui
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 - 10.1155/2021/6668339
Subject(s) - computer science , cloud computing , computer security , blockchain , anonymity , smart contract , data sharing , secret sharing , metadata , collusion , cloud storage , construct (python library) , information sharing , scheme (mathematics) , traceability , encryption , cryptography , computer network , business , world wide web , industrial organization , medicine , mathematical analysis , alternative medicine , mathematics , software engineering , pathology , operating system
,e barriers of food enterprises and departments caused information asymmetry, which is the root cause of food safety incidents. Simultaneously, it is challenging to solve the information asymmetry by the existing cloud-based food supply-chain regulation system. Establishing a secure and reliable data sharing environment is an effective solution to the information island. Blockchain can construct a security network based on mathematical algorithms, eliminating the third party’s potential security risk, and realize transparently share data. In this paper, on the principle of metadata remaining in the food enterprises, we propose a blockchain-cloud fusion scheme based on Decentralized Attribute-Based Signature (DABS) to realize secure data sharing between departments. It constructs a decentralized and trusting environment for data owners to share data and achieves social cogovernance of food safety based on the smart contract. It can also preserve the existing system architecture and complement the performance disadvantage of blockchain and cloud storage. ,e result achieved from security analysis shows that our scheme supports unconditional full anonymity and can resist collusion attacks of N-1 out of N corrupted attribute authorities.
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