| 流特征的Skype流量识别 |
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| 引用本文： | 万月亮,朱贺军,刘宏志.流特征的Skype流量识别[J].智能系统学报,2010,5(2):139-143. |
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| 作者姓名： | 万月亮 朱贺军 刘宏志 |
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| 作者单位： | 1. 北京工商大学,计算机与信息工程学院,北京,100048
2. 公安部第三研究所,北京锐安科技有限公司,北京,100044 |
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| 摘 要： | Skype流识别的研究大多局限于在静态载荷特征和通信机制,没有考虑网络流特征在Skype流量识别中的作用.提出了一种基于朴素贝叶斯分类的Skype流量识别模型.选择流的连接特征和实时特征作为分类特征集,根据流的连接特征组织网络流,再进一步根据流的包长度、平均发送间隔和突发带宽消耗等实时流特征识别Skype流量.在北京联通骨干网络上的实验表明该模型能有效地识别Skype流,是一种有效的Skype流识别算法.
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| 关 键 词： | 流量识别 朴素贝叶斯分类 深度包检测 实时流特征 |
Skype traffic identification based on flow characteristics |
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| WAN Yue-liang,ZHU He-jun,LIU Hong-zhi.Skype traffic identification based on flow characteristics[J].CAAL Transactions on Intelligent Systems,2010,5(2):139-143. |
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| Authors: | WAN Yue-liang ZHU He-jun LIU Hong-zhi |
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| Affiliation: | WAN Yue-liang1,ZHU He-jun2,LIU Hong-zhi1 (1.College of Computer , Information Engineering,Beijing Technology , Business University,Beijing 100048,China,2.The Third Research Institute of Ministry of Public Security Run Technologies Co.,Ltd.,Beijing 100044,China) |
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| Abstract: | Most of the Skype traffic identification models are limited to Skype communication mechanisms and static payload characteristics.No net flow characteristics are considered in identification algorithms.To overcome this limitation,a hierarchical Skype traffic identification model based on naive Bayesian classification was developed.Flows were analyzed according to network connection modes.Results were then obtained according to real-time flow characteristics,such as packet size,average inter-packet gap and bu... |
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| Keywords: | traffic identification naive Bayesian classification deep packet inspection real-time flow characteristic |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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