Intelligent management process analysis and security performance evaluation of sports equipment based on information security

Abstract

This paper discusses the application and analysis of information security in the intelligent management of sports equipment. With the rapid development of information security, the intelligent management of sports equipment has become more and more convenient, fast and safe. Through the information security situation assessment algorithm and Petri net model of natural language processing, the intelligent management of sports body is realized, personalized service and recommendation are provided, user participation and interaction are enhanced, marketing strategies are optimized, and user experience and user loyalty are enhanced. In the design of sports equipment management, SVM model, attack and defense tree model and SVM-Bayesian model are used in the classification of sports equipment. In the experimental comparison of the three models, it is found that the number of attack and defense SVM-Bayesian alarms is 11, the false alarm rate is 0.55%, the number of missed alarms is 57, the false alarm rate is 2.85%, and the accuracy rate is 96.6%. SVM-Bayesia has obvious advantages in attack success rate and risk defense probability. By constantly comparing the path data and the number of nodes, the algorithm in this paper also has a good application effect.