Safety Evaluation Of Mobile Malicious Code Based On Grey System

With the rapid development of mobile intelligent terminal,the malware begins extending from PC to mobile intelligent terminal.Mobile malicious code may lead to the user's mobile terminal crashes,shutdown,data leakage or charges loss.Research for mobile malware has become a hot and key research fields at home and abroad security.However,the research always focus on mobile malicious code for mobile malware detection while attention to the analysis in the evaluation of the safety is not enough.In order to enhance the safety of the mobile Internet,the establishment of a comprehensive and objective assessment system of mobile malware is urgently needed.This thesis is aimed at improving the mobile malware security evaluation ability,starting from the mobile malware research status,combined with the characteristics of the grey system theory.This thesis puts forward a set of mobile malware based on grey theory evaluation system so as to provide a scientific basis and support for assessing the mobile malicious code,contributing to providing a certain reference value to the study of safety evaluation for mobile malicious code.Firstly,this thesis analyzes the present situation of mobile malware and learns about some research results of mobile malicious code's current evaluation.Drawing lessons from the research idea of literature in this paper provides a certain reference value in screening index.Secondly,basing on learning the grey system study,the author find that the grey system theory is really widely used in many fields.Lots of literature apply grey system theory to the evaluation of computer network attack effectiveness,also through the experimental verificates its feasibility.Thirdly,after researching on the characteristics of mobile malware and grey system theory,this thesis establish a set of mobile malware security assessment system and make a correlation analysis of grey correlation model of the evaluation index of the system.The experimental analysis is consistent with the expected results.At the same time,the weight of each index has been determined by AHP method,and passes the test of the consistency of the detection matrix.Finally,based on grey clustering model,this thesis make a clustering analysis on the fourth chapter content.After reading a lot of reference,this thesis analyze four typical samples and get some objective value.Through the grey clustering model of clustering evaluation of mobile malware security,each evaluation object of grey is divided.The result of comparation between the experimental results of grey clustering and the report of authority security research team verifies the validity and feasibility of this clustering model.At the same time,a security evaluation tool based on grey theory mobile malware is designed,which can help to improve the efficiency of grey clustering evaluation.