Personal Information Privacy Protection Methods Based on Relational Encryption for the Internet of Things

Authors

  • Li Feng School of Law, Dongbei University of Finance and Economics, Dalian 116025, Liaoning, China

Abstract

With the gradual infiltration of Internet technology into people’s lives, people are using the related technologies with increasing frequency. While technologies such as the IoT (IoT) bring convenience to people, they also expose users’ information on the Internet, attracting more attention to the issue of the protection of personal information privacy. This article aims to study personal information privacy protection methods in relation to the IoT. For this reason, this paper proposes a privacy protection recommendation algorithm. By designing and improving the algorithm, combined with the understanding of related IoT privacy infringement issues, the improved algorithm can more specifically protect the privacy of personal information. In
addition, this article designs related experiments and analyses the results in order to compare algorithms in terms of their performance and the extent to which they protect users’ information. The experimental results show that the improved algorithm reduces the encryption and decryption time by 33%. At the same time, the ability to protect personal information privacy has been explored, and its ability has increased by 41.8%. It has greatly improved the protection level of personal privacy and other related information, and prevented the infringement of users’ personal privacy on the IoT.

Keywords: Internet of Things (IoT), Relational Encryption, Privacy Protection, Recommended Algorithm Design

Cite As

L. Feng, "Personal Information Privacy Protection Methods Based on Relational Encryption for the Internet of
Things", Engineering Intelligent Systems, vol. 31 no. 2, pp. 127-139, 2023.

 

 

 

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Published

2023-03-01

Issue

Vol. 31 No. 2 (2023): International Journal of Engineering Intelligent Systems

Section

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