An Initial Study on Machine Learning-based Network Attack Detection and Defense Technology
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.
国家科技期刊平台
NSTL
万方数据
