Diversity Survival Research Based On Network Nodes Importance Evaluation

With the lower threshold of network attacks and social development s increasing dependence of information systems, traditional network security technologies face enormous challenges, survivability is getting widespread attention. Diversity is one of the most important means to improve the system survivability. But the diversity in practice only simple to use, there is not well diversified rules. This paper comes out from the "off-line technology", research based on the nodes importance, proposes a diversity algorithm based on network nodes importance evaluation, and verifies the algorithm. Main work and research are as follows:1. Makes an in-depth study of diverse technologies. Summary diversified technology from the traditional technical defects, the effectiveness of diversity and the applications of diversity. Analysis the role of diversity from the theoretical point of view, and proves effectiveness of diversity from the practical point view.2. Based on "off-line technology" feature, proposes a diversity model based on network nodes importance evaluation. Analysis relationship the main components and composition relationship: Elements diversity module builds diversity elements, nodes importance evaluation module evaluate the importance of network nodes, diversity deploy module based on nodes importance evaluation,deploy the diverse elements to the network with certain rules.3. Focuses on the key algorithms of model based on the importance of network nodes evaluation. Propose an importance of network nodes evaluation algorithm based on the overall local fusion, gives the basic idea and the algorithm. Use the generated sequence of nodes, presents a diversity algorithm, distributes the various elements to the network nodes, and gives the basic idea and the algorithm.4. Simulation the nodes importance evaluation algorithm and diversity algorithm. Simulation results show that , nodes importance algorithm can accurately find the important nodes in the network, which is better than other algorithms with reasonable and scientific. The Algorithm promises a single node in the network with minimal impact and the core nodes to achieve high survivability and greatly improve the survival of system than other algorithms.This research work carries out some innovative explorations in the diversity research, research achievement has theoretical and practical significance in Improving the diversity effects and System survivability. As a part of the 863 project Network Vulnerability Analysis Technology , this thesis does a meaning to the research for survivability.