摘要
Abstract
This paper discusses the current research status and development trend of machine learning-based network attack detection and defense technologies,designs and implements a network attack detection and defense system based on the NSL-KDD dataset using different machine learning algorithms,and evaluates and analyzes the performance of the designed system through experimental results.The experimental results show that the designed system has better classification performance and defense effect,and can effectively detect and defend various network attacks.关键词
机器学习/网络安全/网络攻击/NSL-KDD数据集/算法设计Key words
machine learning/cyber security/cyber attack/NSL-KDD dataset/algorithm design分类
信息技术与安全科学
