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

被引:1
作者
Geng F. [1 ]
Yu L. [2 ]
机构
[1] Computer Center, Chongqing Fuling Radio and TV University, Fuling, Chongqing
[2] Academic Affairs Office, Chongqing Fuling Radio and TV University, Fuling, Chongqing
关键词
blockchain; cryptography; hash function; homomorphic encryption; information encryption; personal privacy information; social network;
D O I
10.1504/IJWBC.2022.125505
中图分类号
学科分类号
摘要
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. Copyright © 2022 Inderscience Enterprises Ltd.
引用
收藏
页码:262 / 275
页数:13
相关论文
共 15 条
[1]  
Borrego C., Amadeo M., Molinaro A., Jhaveri R.H., Privacy-preserving forwarding using homomorphic encryption for information-centric wireless ad hoc networks, IEEE Communications Letters, 23, 10, pp. 1708-1711, (2019)
[2]  
Chen B., Wu L., Wang H., Zhou L., He D., A blockchain-based searchable public-key encryption with forward and backward privacy for cloud-assisted vehicular social networks, IEEE Transactions on Vehicular Technology, 69, 6, pp. 5813-5825, (2020)
[3]  
Etemad M., Kupu A., Papamanthou C., Et al., Efficient dynamic searchable encryption with forward privacy, Nephron Clinical Practice, 18, 1, pp. 5-20, (2018)
[4]  
Fan K., Pan Q., Zhang K., Bai Y., Sun S., Li H., Yang Y., A secure and verifiable data sharing scheme based on blockchain in vehicular social networks, IEEE Transactions on Vehicular Technology, 69, 6, pp. 5826-5835, (2020)
[5]  
Fang W., Zamani M., Chen Z., Secure and privacy preserving consensus for second-order systems based on Paillier encryption, Systems & Control Letters, 148, 8, pp. 104-116, (2021)
[6]  
Jing L., Kuang X., Lin S., Ma X., Tang Y., Privacy preservation for machine learning training and classification based on homomorphic encryption schemes, Information Sciences, 526, 16, pp. 166-179, (2020)
[7]  
Lax G., Russo A., Fasci L.S., A blockchain-based approach for matching desired and real privacy settings of social network users, Information Sciences, 557, 5, pp. 220-235, (2021)
[8]  
Luo B., Li X., Weng J., Guo J., Ma J., Blockchain enabled trust-based location privacy protection scheme in VANET, IEEE Transactions on Vehicular Technology, 69, 2, pp. 2034-2048, (2020)
[9]  
Lv Z., Qiao L., Hossain M.S., Choi B.J., Analysis of using blockchain to protect the privacy of drone big data, IEEE Network, 35, 1, pp. 44-49, (2021)
[10]  
Nigwal R., Osari R., Sharma P., Implementation for new approach for privacy-preserving over encrypted cloud data, 5th International Conference on Communication and Electronics Systems (ICCES), (2020)