A Security Warning Method for Inter Group Information in Cyberspace based on Grover Algorithm

The improvement of information security is one of the necessary requirements to achieve sustainable development and has become the focus of attention. Based on the Grover algorithm, this paper will evaluate the efficiency of cybersecurity early warning in the information industry. In the research process, this paper first collects and preprocesses the information between groups, and then carries out a comprehensive implementation and upgrade optimization of the Grover algorithm. Finally, based on the Grover algorithm, the information security early warning efficiency score of the information industry is calculated. The final inter-group information showed that the information industry had the highest comprehensive efficiency score, with a score of 0.902. The conclusion shows that the information industry has outstanding performance in cyberspace efficiency and vulnerability repair. This results show that the upgraded and optimized Grover algorithm can play an important role in the early warning of information security between groups in cyberspace.