基于流量镜像的通信网络入侵攻击智能防御方法

Intelligent Defense Method for Communication Network Intrusion Attacks Based on Traffic Mirroring

为提高通信网络入侵攻击防御效果,提出基于流量镜像的通信网络入侵攻击智能防御方法。该方法通过流量镜像实现对通信网络入侵攻击行为全面精准的检测;基于检测结果,利用马尔可夫博弈建立通信网络入侵攻击智能防御模型,采用精炼贝叶斯纳什均衡对模型进行求解,获得最佳防御策略,实现通信网络入侵攻击的智能防御。测试结果表明,所提方法可有效实现对通信网络入侵攻击的防御,其防御遗漏率较低,响应时间较短,具有较好的通信网络入侵攻击防御效果。

In order to improve the defense effectiveness of communication network intrusion attacks,an intelligent defense method for communication network intrusion attacks based on traffic mirroring is proposed.This method achieves comprehensive and accurate detection of communication network intrusion attacks through traffic mirroring.Based on the detection results,a communication network intrusion attack intelligent defense model is established using Markov game theory.The model is solved using a refined Bayesian Nash equilibrium to obtain the optimal defense strategy and achieve intelligent defense of communication network intrusion attacks.The test results show that the proposed method can effectively achieve defense against communication network intrusion attacks,with a relatively short response time and a good defense effect against communication network intrusion attacks.