Community Of The Complex Networks And Network Security

With the in-depth of research on complex networks, scientists gradually discovered many important properties of complex networks:small world, scale-free, community structure and so on. And the foundation and the core of the complex network is the information network.Information network is a fuzzy boundary, unclear level, highly distributed, dynamic evolution of complex networks, can not defensive always, is attacked and invaded inevitably, is impossible to achieve absolutely security. Based on the cognitive physics characteristics of the node, and by simulating large-scale network’s topology found: virus from a key node in the network can quickly spread to the entire network, much faster than the spread from the edge node. With network data mining methods, according to network size and nature and activities of threat, mining community and backbone of community, we can sure protected object on the corresponding size and make protective strategies of adaption and pertinence, target to reduce protective costs and improve protective efficiency.This thesis analyses Normal spectral bisection method in detail, gives improving method, which Normal spectral bisection method based on GN module, the experimental results show that this algorithm can obtain higher corporate division accuracy. At the same time, through the analysis of the traditional backbone mining, gives backbone mining method based on the community structure, the experimental results verify the validity of this method. The results of this study for research of security technology and application in complex networks has important theoretical significance and practical value.