Title: Dynamic encryption method of personal privacy information in social network based on blockchain technology

Authors: Feifei Geng; Lu Yu

Addresses: Computer Center, Chongqing Fuling Radio and TV University, Chongqing Fuling 408000, China ' Academic Affairs Office, Chongqing Fuling Radio and TV University, Chongqing Fuling 408000, China

Abstract: In order to overcome the problems of low encryption accuracy, long encryption time and poor encryption effect in traditional methods, a dynamic encryption method of personal privacy information in social networks based on blockchain technology is proposed. In this paper, cryptography encryption method is used to obtain the personal privacy information of social network, according to homomorphic encryption to obtain the privacy information plaintext to be encrypted. Then hash function model is constructed, and the hash value is stored in the blockchain to obtain the personal privacy protection information key. Finally, the personal privacy information record blockchain is read, and the blind attribute encryption of personal privacy information is realised. The results show that when the amount of information is 500 GB, the data recall rate is up to 99%, the encryption accuracy is up to 99.9%, and the average information entropy is 8.9242, indicating that the proposed method can improve the privacy information encryption effect.

Keywords: blockchain; cryptography; social network; personal privacy information; information encryption; hash function; homomorphic encryption.

DOI: 10.1504/IJWBC.2022.125505

International Journal of Web Based Communities, 2022 Vol.18 No.3/4, pp.262 - 275

Received: 08 Jun 2021
Accepted: 05 Nov 2021
Published online: 12 Sep 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article