基于Adam梯度数学模型的计算机网络安全检测研究

Research on Computer Network Security Detection Based on Adam Gradient Mathematical Model

为解决因攻击性信息频繁入侵而造成的计算机网络非安全运行的问题,给互联网数据提供更加安全的传输环境,设计了一种基于Adam梯度数学模型的计算机网络安全检测技术.根据Adam算法相关参数设置情况,对梯度目标进行融合处理,从而确定应用行为序列表达式,实现对计算机网络安全事件等级的评估.在此基础上,建立集中式B/S架构体系,通过获取One-Hot编码的方式,得到数据归一化处理结果,完成基于Adam梯度数学模型的计算机网络安全检测方法的设计.对比实验结果表明,Adam梯度数学模型的应用,可以有效控制攻击性信息的入侵能力,从而解决计算机网络非安全运行的问题,符合保障网络数据传输环境安全性的实际应用需求.

In order to solve the problem of insecure operation of computer network caused by frequent intrusion of aggressive information and provide a more secure transmission environment for network data,the computer network security detection technology based on Adam gradient mathematical model is studied.According to the setting of relevant parameters of Adam algorithm,the gradient target is fused to determine the sequence expression of application behavior and realize the evaluation of computer network security event level.On this basis,a centralized B/S architecture system is established.By obtaining One-Hot coding,the data normalization results are obtained,and the design of computer network security detection method based on Adam gradient mathematical model is completed.The comparative experimental results show that the application of Adam gradient mathematical model can effectively control the intrusion ability of aggressive information,solve the problem of non-safety operation of computer network,and meet the practical application requirements of ensuring the security of network data transmission environment.