Privacy information encryption for cross-border e-commerce users based on social network analysis
by Na Wang; Feng Gao; Ji Zhang
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 29, No. 3/4, 2023

Abstract: 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.

Online publication date: Wed, 10-Jan-2024

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