自动化与仪器仪表
自動化與儀器儀錶
자동화여의기의표
AUTOMATION & INSTRUMENTATION
2014年
6期
23-25,29
,共4页
净荷特征%流量特征%社交网络%流量识别
淨荷特徵%流量特徵%社交網絡%流量識彆
정하특정%류량특정%사교망락%류량식별
Payload characteristics%Flow characteristics%Social networking%Traffic identification
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。
目前社交網絡髮展迅速，但國內外對于社交網絡流量的識彆併未給齣有效的方法，文章以三種主流的社交網絡為研究對象，深入分析瞭各社交網絡流量的淨荷特徵和流量特徵，給齣瞭各箇社交網絡數據流量的識彆方法。在此基礎上，利用基于淨荷特徵與流量特徵相結閤的方法對採自校園網的流量進行瞭識彆和分析，實驗結果錶明，基于淨荷特徵與流量特徵相結閤的方法的識彆準確率較單獨使用每一種方法的識彆準確率有明顯提高。
목전사교망락발전신속，단국내외대우사교망락류량적식별병미급출유효적방법，문장이삼충주류적사교망락위연구대상，심입분석료각사교망락류량적정하특정화류량특정，급출료각개사교망락수거류량적식별방법。재차기출상，이용기우정하특정여류량특정상결합적방법대채자교완망적류량진행료식별화분석，실험결과표명，기우정하특정여류량특정상결합적방법적식별준학솔교단독사용매일충방법적식별준학솔유명현제고。
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.
