网络安全与数据治理2024，Vol.43Issue(12)：1-9,18,10.DOI:10.19358/j.issn.2097-1788.2024.12.001
基于机器学习的网络入侵检测技术综述
Overview of network intrusion detection technology based on machine learning
张茜 1王晓菲 1王亚洲 1尚颖 1王芳鸣 1曾颖明1
作者信息
- 1. 北京计算机技术及应用研究所,北京 100854
- 折叠
摘要
Abstract
The development of emerging technologies has promoted the wide application of intelligent methods such as machine learning in the field of network intrusion detection,and effectively improved the efficiency and accuracy of intrusion detection.However,the field of network intrusion detection based on machine learning still faces challenges such as difficulty in processing large-scale network data,imbalance of data samples,difficulty in effectively detecting unknown threats,and poor generalization a-bility of models.This paper aims to summarize the network intrusion detection technology based on machine learning,compare and analyze the advantages and limitations of the current mainstream methods,and summarize and discuss the current challenges and future prospects in this field,so as to provide reference for people in this field to understand the latest research trends.关键词
机器学习/入侵检测/智能化Key words
machine learning/intrusion detection/intelligence分类
信息技术与安全科学引用本文复制引用
张茜,王晓菲,王亚洲,尚颖,王芳鸣,曾颖明..基于机器学习的网络入侵检测技术综述[J].网络安全与数据治理,2024,43(12):1-9,18,10.
