摘要
由于网络攻击日益复杂,需要采用准确、高效的网络入侵检测技术来确保信息安全,深度学习算法作为强大的网络入侵检测工具受到了人们的广泛关注。文章首先分析传统入侵检测方法存在的问题,其次介绍多层次感知器(Multi-Layer Perceptron,MLP)入侵检测算法的基本原理和优化方法,最后通过实验分析验证深度学习算法在网络入侵检测中的有效性,以期为进一步加强网络安全提供有力支持。
As network attacks become increasingly complex,accurate and rapid network intrusion detection technology is required to ensure information security.Deep learning algorithms have received widespread attention as a powerful network intrusion detection tool.This article first analyzes the problems existing in traditional intrusion detection methods,secondly introduces the basic principles and optimization methods of the Multi-Layer Perceptron(MLP)intrusion detection algorithm,and finally verifies the use of deep learning algorithms in network intrusion detection through experimental analysis effectiveness,in order to provide strong support for further strengthening network security.
作者
张锦
ZHANG Jin(Minle NO.1 Senior High School,Gansu Province,Zhangye Gansu 734500,China)
出处
《信息与电脑》
2023年第24期58-60,共3页
Information & Computer
关键词
网络入侵检测
深度学习
多层感知
network intrusion detection
deep learning
multi-layer perception