The Research On The Core Node-Set And Inhibiting The Spread Of Malicious Code About Social Network

With the rapid development of the internet, the application of social networking has been involved in various fields. People bear security threats when enjoying the convenience of life the social network brings. Due to the diverse capabilities of social networking platform, especially social networks gradually expand from the traditional text communication capabilities to having a voice, video, transfers, payments, and other functions, more and more hackers turn their attention to social networks, spread malicious code in social networks attempt to obtain personal information and money. So far, many users of different social networking platforms have been subjected to malicious code attacks, users' privacy and interests suffered varying degrees damage. Therefore, studying the social network in-depth is not only able to take the full and effective use of the benefits,but also to ensure the safety of users in social networking.The influence of nodes and the information propagation model in social networks has become a focus. However, the traditional research still remain in the study of single-node influence in specific social platform, which it pay attention is still simple, direct, discrete,static, and afterwards statistics and other features, can not reveal the inner, hidden,underlying law, energy, not reveal internal factors effective, not be used to prediction and expansion.To solve these problems, raises a view about that the influence of the node is the dynamic properties of social networks, and gives the concept about the set of core nodes and balanced network, focus on the influence of node-set. Giving two algorithms to solve the core node-set of social network and analyzing the time complexity and applicability,with plenty of experiments to verify the relation between core node-set and time,information content and substandard conditions, summarize the relationship between the impact of the core node-set and the network`s balanced indicators.Treat the malicious code in social network as a special information, establish the model of information dissemination in social network, and give the related nature and conclusions, introduce dissemination features of malicious code in social networking, and the model of information dissemination in social network is applied to the spread of infection of malicious code, propose the concept of information dissemination steady-state,analysis the effect of the core node-set for inhibiting and blocking the spread of malicious code combining content described above, and then propose a method for inhibiting the malicious code in social networks, and give the effectiveness of this method by simulation results.