Automated mining of packet signatures for traffic identification at application layer with apriori algorithm

LIU Xing-bin1; YANG Jian-hua1; XIE Gao-gang1; HU Yue1

您当前的位置：

首页 >

文章列表页 >

Automated mining of packet signatures for traffic identification at application layer with apriori algorithm

更新时间：2024-10-14

- Automated mining of packet signatures for traffic identification at application layer with apriori algorithm
- Vol. 29, Issue 12, Pages: 51-59(2008)
- 作者机构：
  
  1. 中国科学院计算技术研究所下一代互联网研究中心
  2. 北京科技大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2008
- 稿件说明：
移动端阅览
LIU Xing-bin1, YANG Jian-hua1, XIE Gao-gang1, et al. Automated mining of packet signatures for traffic identification at application layer with apriori algorithm[J]. 2008, 29(12): 51-59.
DOI：

LIU Xing-bin1, YANG Jian-hua1, XIE Gao-gang1, et al. Automated mining of packet signatures for traffic identification at application layer with apriori algorithm[J]. 2008, 29(12): 51-59. DOI：

摘要

提出了一种基于Apriori算法自动提取协议识别特征的方法

该方法可以自动提取2种最常用的协议识别特征——特征字符串和包长特征

提取特征的效率较传统方法有很大的提高。通过识别率、准确率、正误识别率和负误识别率等指标验证了所提取特征的准确性和完整性

并根据结果反馈指导特征提取的过程

保证了提取特征的可靠性。

Abstract

Automatic and accurate extraction packet signatures are the foundation of the precise traffic identification at application level. A method which can automatically extract the packet signatures of characteristic string and packet length for traffic identification at application layer was proposed. The identification rate

accuracy rate

positive identifi-cation error rate and negative identification error rate have been verified with experiment on some traces to valid the mined signatures.

关键词

Keywords

references

Views

1299

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on traffic identification and scheduling based on optical interconnection architecture in data center

Implementation of P2P nodes detection based on decision tree

Research on P2P streaming media identification based on UDP

Related Author

Bingli GUO

Ning ZHAO

Zhiwen ZHU

Fan NING

Shanguo HUANG

Yong-ping DONG

Xiang-zhan YU

Gang WU

Related Institution

Institute of Information Photonics and Optical Communication,Beijing University of Posts and Telecommunications

School of Information and Communication Engineering,Beijing University of Posts and Telecommunications

Computer Network Center,Harbin Institute of Technology

School of Computer Science and Technology, Harbin Institute of Technology

School of Computer Science and Technology,Zhoukou Nor l University

AI问答

⁰