云计算通信网络阶段性入侵优化检测仿真

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.%In this paper,we propose a method for optimization detection of staged intrusion in cloud computing communication network based on adjacent matrix theory.Firstly,status sequence of network node under different staged intrusions was acquired and symbolic space of network posture observation was built to acquire observed quantization value of strength of network intrusion in a certain stage.Then,probability distribution of original state of network node under the stage was worked out and intrusion cost of network node under different states was obtained.Moreover,integrated with the adjacent matrix theory,quantized value of security vulnerability of each layer under current intrusion stage was worked out and precedence relationship matrix of security vulnerability index was built.Weight vector of posture index of each layer was calculated and fuzzy detection matrix of network security factor was built.According to the matrix mentioned above,the detection model of staged intrusion was built.Finally,the optimization detection was completed.Simulation results show that the model can improve the precision of staged intrusion detection apparently.It has higher detection efficiency.