@Article{cmc.2020.012146,
AUTHOR = {Tao Feng, Hongmei Pei, Rong Ma, Youliang Tian, Xiaoqin Feng},
TITLE = {Blockchain Data Privacy Access Control Based on Searchable Attribute Encryption},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {66},
YEAR = {2021},
NUMBER = {1},
PAGES = {871--890},
URL = {http://www.techscience.com/cmc/v66n1/40485},
ISSN = {1546-2226},
ABSTRACT = {Data privacy is important to the security of our society, and enabling
authorized users to query this data efficiently is facing more challenge. Recently,
blockchain has gained extensive attention with its prominent characteristics as
public, distributed, decentration and chronological characteristics. However, the
transaction information on the blockchain is open to all nodes, the transaction
information update operation is even more transparent. And the leakage of transaction information will cause huge losses to the transaction party. In response to
these problems, this paper combines hierarchical attribute encryption with linear
secret sharing, and proposes a blockchain data privacy protection control scheme
based on searchable attribute encryption, which solves the privacy exposure problem in traditional blockchain transactions. The user’s access control is implemented by the verification nodes, which avoids the security risks of submitting
private keys and access structures to the blockchain network. Associating the private key component with the random identity of the user node in the blockchain can
solve the collusion problem. In addition, authorized users can quickly search and
supervise transaction information through searchable encryption. The improved
algorithm ensures the security of keywords. Finally, based on the DBDH hypothesis, the security of the scheme is proved in the random prediction model.},
DOI = {10.32604/cmc.2020.012146}
}