An Improved Multi-Authority Attribute Access Control Scheme Base on Blockchain and Elliptic Curve for Efficient and Secure Data Sharing

【Author】 Xie, Ben; Zhou, Yu-Ping; Yi, Xin-Yu; Wang, Chen-Ye

【Source】ELECTRONICS

【影响因子】2.690

【Abstract】With the rapid development of Internet of Things technology, sharing data safely and efficiently in different Internet of Things enterprises is becoming increasingly urgent. Traditional schemes usually use third-party centralized cloud storage and a single central authoritative organization to realize data storage and access management during data sharing. However, this centralized scheme design has the potential for a single point of failure. When the cloud storage platform is subjected to malicious attacks, it may lead to data loss or privacy leakage problems. Secondly, there is a trust crisis in the design of authoritative central organizations, and centralized rights management makes the data sharing process opaque. In order to address these shortcomings, an improved blockchain and elliptic curve-based multi-authority attribute access control scheme is proposed. Firstly, the interplanetary file system is used to store the ciphertext of symmetric encryption data to solve data leakage and tampering in centralized cloud storage. Secondly, the elliptic curve cryptography-based improved multi-authority ciphertext policy attribute-based encryption algorithm is used to encrypt the symmetric key. It can solve the single point of failure problem of user attribute management and significantly reduce the attribute encryption algorithm's time and resource consumption. Thirdly, the data-related information is uploaded through the smart contract, and the attribute access threshold is set. Only qualified users can view the private information. Finally, the simulation experiments evaluate the efficiency and effectiveness of the scheme from three perspectives: data storage, smart contract, and attribute encryption.

【Keywords】blockchain; data sharing; smart contract; ECC; attribute-based encryption

【发表时间】2023 APR

【收录时间】2023-05-09

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-云存储