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

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.