Approach of detecting LDoS attack based on time window statistic

WU Zhi-jun; ZENG Hua-long; YUE Meng

您当前的位置：

首页 >

文章列表页 >

Approach of detecting LDoS attack based on time window statistic

更新时间：2024-10-14

- Approach of detecting LDoS attack based on time window statistic
- Vol. 31, Issue 12, Pages: 55-62(2010)
- 作者机构：
  
  中国民航大学电子信息工程学院智能信号与图像处理天津市重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2010
- 稿件说明：
移动端阅览
WU Zhi-jun, ZENG Hua-long, YUE Meng. Approach of detecting LDoS attack based on time window statistic[J]. 2010, 31(12): 55-62.
DOI：

WU Zhi-jun, ZENG Hua-long, YUE Meng. Approach of detecting LDoS attack based on time window statistic[J]. 2010, 31(12): 55-62. DOI：

摘要

在针对LDoS攻击流量的分析建模基础上

通过在时间域(time domain)上进行单位时间内异常(anomaly)脉冲的统计研究

揭示了在LDoS攻击期间

网络的正常流量下降很大的同时攻击流量出现短时间不规则的高脉冲等现象;提出了基于时间窗(time window)统计的LDoS攻击检测算法;并在搭建的实际网络环境中进行了测试

针对不同长度的采样时间做了大量的试验

结果表明该方法的检测率达到96%以上

漏报(漏警)率和误报(虚警)率均小于3%。

Abstract

Through analysised of normal traffic and attack flow

statistic result showed that the normal traffic throughout had an obviously degrade and attack flow had a short time abnormity pulse with higher amplitude.An approach of de-tecting LDoS attack based on time window statistic was presented.Experiments on different length of sample time were conducted in a test environment established on simulation network.Test results show that the detection probability is more than 96%

false negative and false positive are less than 3%.

关键词

Keywords

references

Views

884

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Detection method of LDoS attack based on ACK serial number step-length

LDoS attack detection method based on simple statistical features

Survey of IoT security research: threats, detection and defense

Multi-attribute spectral clustering emergency detection based on word correlation feature

Malicious PDF document detection based on mixed feature

Related Author

Zhijun WU

Qingbo PAN

Meng YUE

Yu FU

Xueyuan DUAN

Kun WANG

Bin LI

He WANG

Related Institution

School of Electronic Information ＆Automation,Civil Aviation University of China

College of Computer and Information Technology, Xinyang Normal University

Henan Key Laboratory of Analysis and Applications of Education Big Data, Xinyang Normal University

School of Mathematics and Information Engineering, Xinyang Vocational and Technical College

Department of Information Security, Naval University of Engineering

AI问答

⁰