Identification And Control Of Abnormal User Behavior In WEB Application System

With the rapid development of Internet technology,it provides people with more and more high-quality and convenient services,and constantly promotes the innovation and iteration of new technologies.Drived by the development of the new generation of Internet technology,the functions provided by the Internet are becoming more and more powerful.These functions greatly facilitate people's life,but also bring some potential safety problems.As a barrier to protect the information security of Internet users,network security has always been a hot research direction in recent years.Whenever users access resources in the Web application system,they need to login to verify their identity first.In view of the problem of illegal user login that may occur in this process,the user behavior information that can be obtained from the Web application system is analyzed,and the user behavior vector is defined.Using the defined user behavior vector and the idea of association rule mining,the FP-growth algorithm is used to further analyze the user behavior.After optimization,the analysis process can be carried out without affecting the normal operation of the system,which provides a judgment basis for defining whether the user behavior is abnormal.Then,based on the analysis of user behavior patterns,a control method of user abnormal behavior recognition is designed and implemented for Web application system.To a certain extent,this method meets the needs of protecting user information security,and provides a referable solution for user information security protection under Web application system.After the whole process of the experiment and evaluation,the experimental results are good,to meet the expected effect.