An emergency management system for government data security based on artificial intelligence

This paper designs a novel emergency management system for government data security based on artificial intelligence (AI). Firstly, a novel concept was put forward government data resilience chain (GDRC) based on the AI technology. Next, several AI techniques were designed to ensure the security of government data on data sharing and exchange platforms, including intelligent government data security monitoring technology, artificial neural network (ANN) and fuzzy identification technology, and firewall security technology based fuzzy clustering. On this basis, an emergency management system was established for government data security, and verified through simulation of fault tolerance of multi-agent formation. The results show that the GDRC helps solve emergency management problems in the sharing and exchange of government data: the proposed system realized deep learning (DL), and real-time updates of dynamic features of multiple agents. The research results provide effective decision supports for improving the fault tolerance of multi-agent system. © 2020 International Information and Engineering Technology Association. All rights reserved.