Ubiquitous Network Security Event Description And Risk Analysis

With the continuous development of information technology,a feature-rich,unblocked,fully connected ubiquitous network is taking shape.Ubiquitous network is a self-organized,integrated,ubiquitous network.Users in the ubiquitous network realize ubiquitous information exchange.The dynamic,cooperative and heterogeneous nature of the ubiquitous network makes its security events more difficult to grasp and analyze.This paper studies security event description and risk analysis in ubiquitous network,which has important academic significance and practical application prospect.Firstly,this paper combs the research status quo of ubiquitous networks.Combining the characteristics of ubiquitous networks,this paper proposes an abstraction ubiquitous network structure.This architecture separates the controlling and forwarding parts of network devices,and realizes a virtual,flat,ubiquitous network construction mode.This paper combines this ubiquitous network structure with the risk assessment theory and proposes a framework for implementing security event description and risk analysis in ubiquitous networks.In this framework,the safe data plane decoupled from the control plane,which provides a new idea for security application innovation.This paper's research based on the ubiquitous network architecture and the implementation framework;the main results are as follows:Describing the security events of the ubiquitous network based on COOPN.This paper combines Petri-net and CORAS modeling theory to describe the complexity and dynamics of the ubiquitous network security events.Simulation results show that the modeling results of COOPN can describe the security events in the ubiquitous network better,and can further carry out the risk analysis based on the description results.Security risk quantitative analysis based on PSO-SVM.The PSO algorithm is used to improve the decision tree of DT-SVM and reduce the influence of misclassification accumulation in the classifier.The classification results of the attack data show that this method has high classification recall rate and is suitable for the quantitative analysis of the security risk of network data.On this basis,the paper combines it with the flow data analysis in the ubiquitous network,and proposes a method for quantitative analysis of the ubiquitous network's security risk.Security risk qualitative analysis based on the group decision-making FAHP,the AHP is improved by group decision and fuzzy judgment,which reduces the influence of subjectivity in AHP analysis and avoids the difficulty of solving the consistency matrix.In this paper,we combine it with the hierarchical structure of the ubiquitous network to realize the qualitative analysis of the security risks of each layer,and expatiate the analysis process of the method through the simulation experiment.Finally,the paper unifies the framework and the above methods,designs and implements a tool.This tool uses COOPN to describe the ubiquitous network,extracting risk factors and indicators,and use PSO-SVM and group decision-making FAHP to calculate the index value of the risk factor to analyze the security risk in the ubiquitous network.