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基于云计算的社交网络流量识别与管理研究

Cloud-based social network traffic identification and management research
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摘要 目前社交网络发展迅速,但国内外对于社交网络流量的识别并未给出有效的方法,文章以三种主流的社交网络为研究对象,深入分析了各社交网络流量的净荷特征和流量特征,给出了各个社交网络数据流量的识别方法。在此基础上,利用基于净荷特征与流量特征相结合的方法对采自校园网的流量进行了识别和分析,实验结果表明,基于净荷特征与流量特征相结合的方法的识别准确率较单独使用每一种方法的识别准确率有明显提高。 Currently the rapid development of social networks, but domestic and international traffic for the social network did not give an effective method to identify articles in three major social network for the study, in-depth analysis of the payload characteristics and flow characteristics of each social network traffic, recognition is given for each social network data traffic. On this basis, the use of payload characteristics and flow characteristics of a combination of methods based on the traffic collected from the campus network were identified and analyzed, the experimental results show that the recognition accuracy based on payload charac-teristics and flow characteristics than the combined method alone recognition accuracy of each method has sig-nificantly improved.
作者 朱龙梅
出处 《自动化与仪器仪表》 2014年第6期23-25,29,共4页 Automation & Instrumentation
关键词 净荷特征 流量特征 社交网络 流量识别 Payload characteristics Flow characteristics Social networking Traffic identification
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