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基于多粒度的自适应UDP流检测
引用本文:李宁,殷宏,许继恒,王建民,陈红跃. 基于多粒度的自适应UDP流检测[J]. 计算机应用, 2012, 32(7): 1816-1819. DOI: 10.3724/SP.J.1087.2012.01816
作者姓名:李宁  殷宏  许继恒  王建民  陈红跃
作者单位:解放军理工大学 工程兵工程学院,南京210007
摘    要:针对用户数据报协议(UDP)流检测研究不足,其准确率和效率不高等问题,提出一种基于多粒度的自适应UDP流检测方法。通过分析UDP流的特征,设计两种不同粒度的动态超时策略,对短流使用“细粒度”方法,对长流采用多粒度结合的方法。与其他超时策略比较,其准确率与固定超时相近,内存约占其他方法的75%。结果证实了方法适用于UDP流检测。

关 键 词:用户数据报协议流  流检测  多粒度  自适应方法  
收稿时间:2012-01-10
修稿时间:2012-03-02

Adaptive UDP flow detection based on multi-granularity
LI Ning , YIN Hong , XU Ji-heng , WANG Jian-min , CHEN Hong-yue. Adaptive UDP flow detection based on multi-granularity[J]. Journal of Computer Applications, 2012, 32(7): 1816-1819. DOI: 10.3724/SP.J.1087.2012.01816
Authors:LI Ning    YIN Hong    XU Ji-heng    WANG Jian-min    CHEN Hong-yue
Affiliation:Engineering Institute of Engineer Corps, PLA University of Science and Technology, Nanjing Jiangsu 210007, China
Abstract:Concerning the lack of research on User Datagram Protocol(UDP) flow detection,and its low accuracy and efficiency,an adaptive UDP flow detection based on multi-granularity was proposed.Two different dynamic timeout strategies based on different granularity were designed by analyzing the characteristics of UDP flow.Compared with other timeout strategies,the accuracy of the proposed method was similar to the fixed timeout strategy,and the memory usage was only about 75% of the others.The experimental results show that the proposed method is suitable to the UDP flow detection.
Keywords:User Datagram Protocol(UDP) flow  flow detection  multi-granularity  adaptive method
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