Identity Authentication Methods Based on User Profiling

In today’s digital and intelligent environment, the research on authentication technology has become an important branch in the field of information security. This paper introduces an identity verification method that utilizes user profiles on the platform to enhance the security of enterprise information systems. By collecting multi-dimensional information from users, a comprehensive and detailed platform user profile is created for authenticating current employees. Furthermore, by applying the multi-objective particle swarm optimization algorithm in swarm intelligence, certain parameters within the system are optimized, thereby improving the accuracy of the model. This identity authentication system based on intelligent algorithms can monitor and analyze whether the login and post-login operation behaviors of employees are abnormal, providing more precise and secure access control for the system. Compared with the benchmark model, this method has shown improvement in authentication accuracy.