Title: Research on the privacy protection model of government cyber security in smart cities based on big data

Authors: Gongping Chen; Hong Wang

Addresses: School of Information and Electronic Engineering, Lu'an Vocational Technical College, Lu'an, 237158, China ' School of Information and Electronic Engineering, Lu'an Vocational Technical College, Lu'an, 237158, China

Abstract: With the escalation of hacking methods, the existing network security privacy model can no longer fully guarantee the security of private information. To solve the problem of poor security performance of the traditional privacy protection model, the research proposes an improved privacy protection algorithm based on the SMART algorithm by optimising the hierarchical processing of the original sensing data, which encrypts and protects the private data, and embeds the privacy protection algorithm into the government network security privacy protection model. The experimental results show that proposed algorithm has a privacy exposure probability of 0.05, a fusion accuracy of 89% and a network energy consumption of 82.5%, which is all better than comparison algorithms. It can provide better security protection to the government cybersecurity privacy protection model, and also provide a new idea for the privacy protection method of the privacy protection model.

Keywords: network security; privacy protection; SMART algorithm; D-SMART algorithm; fusion accuracy.

DOI: 10.1504/IJWET.2023.133615

International Journal of Web Engineering and Technology, 2023 Vol.18 No.3, pp.202 - 220

Received: 06 Sep 2022
Received in revised form: 21 Mar 2023
Accepted: 23 May 2023
Published online: 25 Sep 2023 *

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