云计算通信网络阶段性入侵优化检测仿真

发布时间：2018-04-09 01:21

本文选题：阶段性入侵　切入点：云计算通信网络　出处：《计算机仿真》2017年07期

【摘要】：对云计算通信网络阶段性入侵优化检测,需要有效提升云计算通信网络的服务质量,保障网络用户信息质量安全性。进行入侵检测时,应获取云计算通信网络安全脆弱性指标的优先关系矩阵,计算各层的网络安全态势评指标的权重向量,组建网络安全要素的模糊检测矩阵完成检测,但是传统方法通过对网络入侵信息数据进行聚类评估,提取入侵数据的感染隶属度特征进行匹配完成检测,但是无法准确计算网络安全态势指标的权重向量,不能组建精确的网络安全要素的模糊检测矩阵,存在入侵监测偏差大的问题。提出一种基于邻接矩阵理论的云计算通信网络阶段性入侵优化检测方法。首先获取不同阶段入侵下的网络节点状态序列,组建网络态势观测符号空间,获取某个阶段内观测到的网络入侵强度量化值,计算出该阶段网络节点初始状态概率分布,得到网络节点处于不同状态下的入侵代价,然后结合邻接矩阵理论计算出当前阶段入侵下的网络各层安全脆弱性量化值,组建安全脆弱性指标的优先关系矩阵,计算各层的态势指标的权重向量,组建网络安全要素的模糊检测矩阵,以上述矩阵为依据组建网络阶段性入侵检测模型,完成云计算通信网络阶段性入侵优化检测。仿真结果表明,所提模型可以极大地提高云计算通信网络阶段性入侵检测的准确性,且检测效率较高。
[Abstract]:It is necessary to improve the quality of service of cloud computing communication network and ensure the security of information quality for cloud computing communication network.In intrusion detection, we should obtain the priority relation matrix of cloud computing communication network security vulnerability index, calculate the weight vector of each layer network security situation evaluation index, and set up the fuzzy detection matrix of network security elements to complete the detection.The fuzzy detection matrix of network security elements can not be set up, and the problem of large deviation of intrusion detection exists.This paper presents an optimal intrusion detection method for cloud computing communication networks based on adjacency matrix theory.Firstly, the network node state sequence under different intrusion stages is obtained, the symbol space of network situation observation is constructed, the quantization value of network intrusion intensity observed in a certain stage is obtained, and the initial state probability distribution of network node in this stage is calculated.The intrusion cost of network nodes in different states is obtained, and then the quantization value of security vulnerability of each layer of the network under the current intrusion stage is calculated according to the theory of adjacency matrix, and the priority relation matrix of the security vulnerability index is established.The weight vector of the situation index of each layer is calculated and the fuzzy detection matrix of network security elements is established. Based on the above matrix a network phase intrusion detection model is established to complete the phase optimization detection of cloud computing communication network.Simulation results show that the proposed model can greatly improve the accuracy of cloud computing communication network intrusion detection, and the detection efficiency is high.
【作者单位】：浙江农林大学信息工程学院;
【分类号】：TP393.08

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