Research On Defending Mechanism For Mobile Malicious Code Based On Social Computing

With the convergence of mobile communication network and Internet in depth,mobile Internet is penetrating into every field of people’s life,work and study.The rapid development of the mobile Internet applications is profoundly changing the social life in the information age.Since mobile phone has become the first biggest terminal of mobile Internet users in our contrary,the malware that the mobile phone has brought great challenges to the security of the mobile Internet.The rising of the social network,represented by Facebook,is changing the way of social intercourse among people,but in the meantime providing a new way for the malicious code to propagate.Social Computing is an interdisciplinary branch of learning on computing technology and social sciences.Using computing technology,it helps people to recognize the laws of society,mutual communication and collaboration,and the principles and methods that using collective wisdom to solve problems.The mobile network that consists of mobile phone users can be viewed as a social network,so the theories and methods of social computing can be applied to mobile networks,analyzing the trends of the propagation of malicious code and developing a reasonable defense and prevention measures.Firstly,this article provides an overview of of the basic methods in social computing,and introduce the technology of trust computing,community detection,which involved in this study,in details.Then propose a more accurate trust inference algorithm based on the Ant Colony Optimization algorithm.On the above basis,we propose a mobile phone malware defense mechanism based on social computing,using the technology of community detection to analyze the topology of the mobile network and the technology of trust inference to control the propagation of the patch in the mobile network,and eventually establish a distributed control system based on social computing for automatic patch dissemination,making the patch spread quickly and safely in social networks.Finally give the ACO-based trust inference algorithm programming and accuracy analysis,as well as the MATLAB simulation for the automatic patch dissemination.From the result we can see that the algorithm proposed has a more accuracy rate,and the mechanism of automatic patch dissemination shows a clear advantage both the timeliness and safety compared with other methods.