Blockchain data privacy access control based on searchable attribute encryption

doi:10.32604/cmc.2020.012146

	Blockchain data privacy access control based on searchable attribute encryption
	Feng, Tao 2; Pei, Hongmei 2; Ma, Rong 2; Tian, Youliang 3; Feng, Xiaoqin 1
刊名	Computers, Materials and Continua
	2021
卷号	66 期号:1 页码:871-884
关键词	Access control Blockchain Predictive analytics Privacy by designAccess structure Authorized users Data privacy protections Exposure problem Hierarchical attributes Prediction model Searchable encryptions Transaction information
ISSN号	15462218
DOI	10.32604/cmc.2020.012146
英文摘要	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. © 2020 Tech Science Press. All rights reserved.
WOS研究方向	Computer Science ; Materials Science
语种	英语
出版者	Tech Science Press
WOS记录号	WOS:000587534300056
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/132305]
专题	计算机与通信学院
作者单位	1.School of Computer, Xiandian University, Xi'an, China 2.Lanzhou University of Technology, Lanzhou; 730050, China; 3.College of Computer Science and Technology, Guizhou University, Guizhou, China;
推荐引用方式 GB/T 7714	Feng, Tao,Pei, Hongmei,Ma, Rong,et al. Blockchain data privacy access control based on searchable attribute encryption[J]. Computers, Materials and Continua,2021,66(1):871-884.
APA	Feng, Tao,Pei, Hongmei,Ma, Rong,Tian, Youliang,&Feng, Xiaoqin.(2021).Blockchain data privacy access control based on searchable attribute encryption.Computers, Materials and Continua,66(1),871-884.
MLA	Feng, Tao,et al."Blockchain data privacy access control based on searchable attribute encryption".Computers, Materials and Continua 66.1(2021):871-884.