Research And Implementation Of File Classification Audit System For Mobile Internet

With the development of mobile Internet in China,mobile Internet users show exponential growth,mobile users online traffic is taking the lead in the Internet.In order to protect the security of mobile Internet,discover the security problems in the network,and meet the national Internet security requirements,it is necessary to carry out the file classification system of mobile Internet.Facing with massive amount of mobile Internet data,it was hard to audit the contents of the Internet transmission.At present,it is imperative to propose an effective auditing scheme for mobile networks.In this paper,we propose and design a file classification auditing system of mobile Internet.In this paper,the mobile Internet file classification audit as the title,combined with the existing work research,summed up the file classification audit work in the mobile Internet problems encountered,design and implement the file classification audit system.The main contents of this paper are as follows:Firstly,this paper did the research on the technology of file classification audit system,summed up the methods and characteristics of the audit work,makes the theoretical basis for the system design.At the same time,this paper studies the key technologies involved in the file classification audit work,including text feature extraction algorithm optimization,file type identification based on feature identification,performance optimization based on multi-process.After that,this paper designs the mobile Internet file classification auditing system,puts forward the system goal and the overall design framework.Finally,this paper realizes the audit system,introduces the main functions of the system,and tests the online behavior audit function.The mobile Internet auditing system designed and implemented in this paper has good service recognition ability and data processing function.The main results of this paper are as follows:First,this paper optimizes the feature extraction algorithm based on chi-square statistics,and applies the optimized algorithm to the system's web page classification audit.Second,this paper proposes a method for file identification matching in limited areas and applies it to realize the audit of the network transmission file.Thirdly,this paper optimizes the performance of the system,which focuses on the load balance,father and son heartbeat,memory management and other issues.This paper aims to study and implement the file classification audit system.This paper mainly analyzes the advantages and disadvantages of the existing audit system,puts forward the corresponding improvement measures,achieves the purpose of dealing with the large amount of data,and applies the improved technology to the audit system,thus improving the processing capacity of the system and improving the audit effect.Through the test,the results show that this system can satisfy the system target proposed in this paper and the audit requirements of identifying the mobile Internet user online behavior.