Research On User Behavior Analysis Method In The Network Auditing Platform

Audit,as a measure of the national policy,financial review and supervision,audit is also the national economic normal operation of the defense surveillance system.The audit form gradually changed from the locale audit to the Internet audit.The network auditing platform must meet the requirements of audit in the new world.With the rapid development of science and technology,the Internet audit has the characteristics of convenient and fast,the Internet audit is increasingly perfect.The audit staff are eager to be able to complete the audit work more efficiently through the networking audit platform.At present,the audit staff encountered two problems in the use of network audit platform system work.First,when the supervisor or project leader assigned the audit task to the audit staff,the audit staff can not be clearly determine the execution sequence of audit method to complete the audit task.Second,When the audit staff learn related laws and regulations of the audit policy through the network audit platform,the audit staff can not be clearly determine the learning sequence of the relevant laws and regulations of audit policy.In this paper,based on the problems of the platform users faced.The introduction of data mining technology in the network auditing platform.The influencing factors of the user behavior in the network auditing platform are multidimensional and multilayered relationship.The AML-FP algorithm for user behavior analysis of network auditing platform is proposed in this paper.The networking audit platform system is not only the system platform for the audit staff to complete the audit task,but also has the function of the audit staff recommended audit hot spots.The audit hot spot recommendation algorithm is proposed in this paper.To ensure that the audit hot spots recommended by the system is to more fully meet the audit staff habits and project goals and successfully complete the audit work.