基于机器学习的网络安全检测技术研究

为保证现阶段网络指令的安全性，可以逐步完善网络检测技术手段，以检测网络安全环境。基于此，文中提出了构建网络安全框架层、建立系统框架的方式，并将安全检测算法、向量机分类算法以及无监督聚类技术应用其中，以便实现对网络环境的全面监督，发布完整的网络安全指令，提升网络安全的检测效率以及准确性，降低网络安全攻击的可能。

Research on Network Security Detection Technology Based on Machine Learning

In order to ensure the security of current network instructions, network detection techniques can be gradually improved to detect the network security environment. Based on this, this paper proposes a way to build a network security framework layer and establish a system framework, and applies security detection algorithms, vector machine classification algorithms, and unsupervised clustering techniques to achieve comprehensive supervision of the network environment, issue complete network security instructions, improve the efficiency and accuracy of network security detection, and reduce the possibility of network security attacks.