DDoS attacks detection based on link character

SUN Hong-jie; FANG Bin-xing; ZHANG Hong-li

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DDoS attacks detection based on link character

更新时间：2024-10-14

- DDoS attacks detection based on link character
- Issue 2, Pages: 88-93(2007)
- 作者机构：
  
  1. 哈尔滨工业大学国家计算机信息内容安全重点实验室
  2. 哈尔滨工业大学国家计算机信息内容安全重点实验室,黑龙江,哈尔滨,150001
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2007
- 稿件说明：
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SUN Hong-jie, FANG Bin-xing, ZHANG Hong-li. DDoS attacks detection based on link character[J]. 2007, (2): 88-93.
DOI：

SUN Hong-jie, FANG Bin-xing, ZHANG Hong-li. DDoS attacks detection based on link character[J]. 2007, (2): 88-93. DOI：

摘要

提出了一种基于链路特征的DDoS攻击检测方法

利用极大似然估计技术推出网络内部链路特征分布

应用自组织映射神经网络进行链路特征活动轮廓学习和异常链路检测。实验结果表明

该方法有效

具有一定的发展潜力

对于DDoS攻击的检测和预防具有重要现实意义。

Abstract

A new method based on link character was proposed for DDoS attacks detection.Maximum likelihood estima-tion was used to estimate the distribution of link character.SOM neural network is used for link activity profile learning and anomaly link detection.Experiment results indicate that the technique is effective and of a definite practicability.It has a further develop potential for DDoS attacks detection.

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