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基于相似系数的 DDOS 攻击检测研究

翟光群 齐鹏辉

计算机应用与软件Issue(3):289-292,4.
计算机应用与软件Issue(3):289-292,4.DOI:10.3969/j.issn.1000-386x.2015.03.068

基于相似系数的 DDOS 攻击检测研究

RESEARCH ON SIMILARITY COEFFICIENT-BASED DDOS ATTACK DETECTION

翟光群 1齐鹏辉1

作者信息

  • 1. 郑州大学信息工程学院 河南 郑州 450001
  • 折叠

摘要

Abstract

For the DDOS attacks against servers,we propose an algorithm to detect DDOS attack by using similarity coefficient based on traffic analysis.This algorithm takes the data traffic per unit time as the calculating items and detects DDOS attack by comparing the statistical values of experimental data with the threshold values.The algorithm has the features of online detection and high real time performance.In addition,it is especially effective for the plug-in DDOS attack detection.Experiments show that the accuracy of DDOS attack detection has better improvement when the threshold parameters are properly selected.

关键词

分布式拒绝服务/流量相似性/相似系数/服务器 DDOS 攻击/网络安全

Key words

Distributed denial of service(DDOS)/Flow similarity/Similarity coefficient/Server DDOS attack/Network security

分类

信息技术与安全科学

引用本文复制引用

翟光群,齐鹏辉..基于相似系数的 DDOS 攻击检测研究[J].计算机应用与软件,2015,(3):289-292,4.

基金项目

河南省重点科技攻关项目 ()

计算机应用与软件

OACSCDCSTPCD

1000-386X

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