| 一种基于聚类与关联规则算法的DDoS攻击检测模型 |
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| 引用本文： | 钟锐.一种基于聚类与关联规则算法的DDoS攻击检测模型[J].赣南师范学院学报,2009,30(6):84-88. |
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| 作者姓名： | 钟锐 |
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| 作者单位： | 江西理工大学理学院;赣南师范学院现代教育技术中心,江西赣州341000 |
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| 摘 要： | 分布式拒绝服务（Distribute Denial of Service）攻击是当前主要的网络安全威胁之一．本文分析了DDoS攻击的本质特征，提出了一种基于数据挖掘算法的DDoS攻击检测模型．该模型使用聚类算法与关联规则对网络流量与网络数据包连接状态分别建立特征模型，并确定DDoS攻击的检测阈值．实验表明，该检测模型能够实时有效的检测DDoS攻击．
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| 关 键 词： | 分布式拒绝服务攻击 聚类算法 关联规则 |
Design of a DDoS Detection Model Based On K-means Cluster Algorithm and Apriori Association Algorithm |
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| ZHONG Rui.Design of a DDoS Detection Model Based On K-means Cluster Algorithm and Apriori Association Algorithm[J].Journal of Gannan Teachers' College(Social Science(2)),2009,30(6):84-88. |
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| Authors: | ZHONG Rui |
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| Institution: | ZHONG Rui (1. Faculty of Science, Jiangxi University of Science and Technology; 2. Modern Education Technology Center, Gannan Normal University, Ganzhou 341000, China) |
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| Abstract: | Distributed denial of service(DDoS) attacks are major threats to availability of computer network.This paper analyzes the essential characteristics of DDoS attacks and build a detection model base on data mining algorithm.Cluster algorithm and Association algorithm used to extracts network traffic model and packet connection status model.The threshold is set for detecting attacks.Experimental result shows that DDoS attacks can be detected efficiently and swiftly. |
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| Keywords: | distributed denial of service attack(DDoS) cluster algorithm association algorithm |
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