网络个体用户遭受感染下病毒免疫滤波控制算法

Control Algorithm of Virus Immune Filtering Under Network Infection for Network Individual Users

网络个体用户在遭受病毒入侵干扰下,由于病毒入侵信号对单个个体用户入侵的不确定性,难以实现对病毒的有效控制和免疫。提出一种基于自适应功率谱密度特征提取的网络个体用户遭受感染下病毒免疫滤波控制算法,首先进行网络病毒面入侵信号的模型构建,设计滤波控制算法实现对网络个体用户遭受感染下的病毒免疫控制。设计网络个体用户遭受感染下的病毒免疫模型,进行网络个体用户遭受感染下病毒入侵路径和安全属性分析。设计基于自适应功率谱密度特征提取的网络个体用户遭受感染下病毒免疫滤波控制算法,实现对用户遭受感染下的病毒入侵信号的滤波检测和控制。仿真实验结果表明,该算法能有效实现对病毒入侵路径和强度幅值的准确跟踪控制,免疫滤波效果较好,对病毒信号的检测概率提高15.7%,实时性和鲁棒性优越于传统方法,保证了网络个体用户的安全。

The network of individual users from virus interference, because the virus intrusion signal to the individual userinvasion of uncertainty, it is difficult to achieve effective control and immune to the virus. A new method based on adaptivepower spectral density feature extraction of network individual users suffer filter control algorithm infection virus immune,the construction of the first network virus surface intrusion signal model, the design of filter control algorithm for network in-dividual users suffer virus infection control. The design of network of individual users by virus infection immunity model un-der network, individual users suffer infection virus intrusion path and the security attribute analysis. The design of networkindividual user spectrum feature extraction of adaptive power control algorithm by filtering infection virus immune based fil-tering, detection and control of the user by virus infection of the intrusion signal. The simulation results show that, the algo-rithm can effectively realize accurate tracking control of the virus intrusion path and intensity amplitude better filtering ef-fect, immune and probability of detection of virus signal is increased 15.7%, real-time and robustness is superior to the tra-ditional method, it can ensure that the network of individual user security.