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基于机器学习的DDoS攻击网络流量识别方法

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分布式拒绝服务(DDoS)攻击已然成为一种严重的网络安全威胁,文章介绍了DDoS攻击的概念、主要类型及其特征,概述了当前网络流量分析领域的研究现状,提出了构建流量统计特征、应用主成分分析进行流量降维的方法,采用了支持向量机和随机森林2 种算法识别与分类DDoS攻击流量.
DDoS attack network traffic identification based on machine learning
Distributed denial-of-service(DDoS)attacks have become a serious network security threat.This paper introduces the concept,main types and characteristics of DDoS attacks,summarizes the current research status in the field of network traffic analysis,proposes methods to construct traffic statistical features and apply principal component analysis for traffic dimensionality reduction,and uses support vector machine and random forest algorithms to identify and classify DDoS attack traffic.

DDoS attackmachine learningtraffic analysismodel identification

刘仲维

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衡水学院,河北 衡水 053000

DDoS攻击 机器学习 流量分析 模型识别

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(7)
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