基于改进隐马尔可夫模型的无线通信网络入侵检测方法  

Intrusion detection method of a wireless communication network based on an improved hidden Markov model

作　　者：赵齐 ZHAO Ji(Sias University Digital Technology School Of Sias University,Henan Zhengzhou 450003Chi)

机构地区：[1]郑州西亚斯学院数字技术产业学院,河南郑州450003

出　　处：《长江信息通信》2024年第2期56-58,共3页Changjiang Information & Communications

摘　　要：传统的入侵检测方法对网络环境复杂性和数据流特征的变化容易受到影响,导致效果不佳。文章提出了一种基于改进隐马尔可夫模型的无线通信网络入侵检测方法。引入异常状态转移概率矩阵和动态阈值策略,从而提高入侵检测的准确性和鲁棒性。另外,本文还针对现有模型在处理大量数据时的计算复杂度问题,提出了分组渐进压缩的方法,有效提高检测效率。分析实验结果可知,所提出的方法在无线通信网络中具有较好的入侵检测效果,能够有效地识别恶意攻击并降低误报率。The traditional intrusion detection methods are susceptible to the complexity of the network environment and the change of data flow characteristics,resulting in poor effect.In this paper,we propose an intrusion detection method of wireless communication networks based on an improved hidden Markov model.An abnormal state transition probability matrix and dynamic threshold strategies are introduced to improve the accuracy and robustness of intrusion detection.In addition,this paper also proposes the method of grouping and progressive compression for the computational complexity of the existing models when dealing with a large amount of data,to effectively improve the detection efficiency.According to the experimental results,the proposed method has a good intrusion detection effect in the wireless communication network,and can effectively identify malicious attacks and reduce the false positive rate.

关 键 词：网络环境 入侵检测 隐马尔可夫模型 改进方法 

分 类 号：TP378[自动化与计算机技术—计算机系统结构]