Privacy information encryption for cross-border e-commerce users based on social network analysis

被引：0
作者：
Wang N. [1 ]
Gao F. [2 ]
Zhang J. [3 ]
机构：
[1] School of Management, Changchun University of Architecture and Civil Engineering, Changchun
[2] School of Art, Changchun University of Architecture and Civil Engineering, Changchun
[3] School of Electrical Engineering, Changchun University of Architecture and Civil Engineering, Changchun
来源：
International Journal of Networking and Virtual Organisations | 2023年 / 29卷 / 3-4期
关键词：
cross-border e-commerce; information encryption; privacy; social network analysis; vector quantisation encoding;
D O I：
10.1504/IJNVO.2023.135961
中图分类号：
学科分类号：
摘要：
In order to protect the privacy information of cross-border e-commerce users, an encryption algorithm based on social network analysis is proposed in this paper. Firstly, the logical inference mapping method for blockchain identity data is used to encode public and private keys, and the asymmetric encryption method is applied to construct keys. Then, the social network analysis method is used to rearrange the user social network structure, and the user information fusion processing and optimised encryption are realised with the support of arithmetic coding, homomorphic encryption and other technologies. The simulation results show that this method has strong anti-attack ability and low time cost. © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码：312 / 327
页数：15
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