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基于提升小波的DDoS实时检测

Real-time detection of DDoS attack based on lifting scheme
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摘要 以小波法估计Hurst指数为基础,提出了基于提升算法的实时Hurst指数估计法。由NS2仿真实验的结果分析出检测DDoS攻击时流量样本与Hurst指数的关系,得到检测DDoS的实时方法.与传统检测方法相比,该法实时高效。 A real-time estimator of Hurst parameter based on the lifting scheme for wavelet transform is presented.Analyzing the relation between network traffic sample and Hurst paremeter on the simulation data of NS2,the method of detecting DDoS attack is proposed.Compared with traditional methods,The proposed approach shows real time and efficiency.
作者 刘渊 周刚
机构地区 江南大学信息工程学院
出处 《计算机工程与应用》 CSCD 北大核心 2007年第32期122-124,共3页 Computer Engineering and Applications
基金 国家部委基础科研项目。
关键词 分布式拒绝服务 赫斯特指数 实时检测 提升小波 Distributed Denial of Service（DDoS） hurst parameter rea-time detection lifting scheme
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献7

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二级参考文献21

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共引文献67

计算机工程与应用
2007年 第32期

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