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A New Network Traffic Classification Method Based on Classifier Integration
Zhang Luoshi,Xue Yibo,Bao Yuanyuan 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
With development of scale, diversity and complexity of network traffic, the drawbacks of traditional machine learning methods on traffic classification is gradually exposed, especially the false positive problem in large-scale real network traffic classification is particularly serious. In this paper, aiming at reducing the false positive rate of network traffic classification, an effective network traffic classification method --- CMM method. CMM method contains three steps, including dividing the training set into clusters, forming sub-classifiers, and classifier integration in accordance with the principle of minimization and maximization. In this paper, we firstly demonstrate the effectiveness of this method in reducing the false positive rate. Secondly, we conduct experiments in large-scale national backbone network, such as the SSL protocol classification and experimental results verify the effectiveness of this method in large-scale the actual network traffic classification.
Jina Wang, Kaidong Xu,Zhixin Li,Yilong Yang,Qingxiao Li,Yun Bao,Huan Yang,Lingling Ding,Ruixin Zhang,Yuanyuan Wang,Lan Yao 한양대학교 세라믹연구소 2022 Journal of Ceramic Processing Research Vol.23 No.1
In order to effectively reuse red mud and coal gangue, foam glass was successfully prepared by sintering. The foaming of foamglass is ensured by adding foaming agent, foam stabilizer and fluxing agent to the raw materials including red mud, coalgangue and waste glass. Furthermore, the defects in the foam glass are also reduced. The obtained powder was dried at 105ºC and characterized by XRF, DSC-TG analysis, etc. According to cellular structure, apparent density and water absorption,the optimal type and ratio of foaming agent, foaming stabilizer and fluxing agent were revealed. The results indicate that theoptimized formula of foaming agent, foaming stabilizer and fluxing agent is 3% MnO2-2% Na3PO4-2% borax. The foam glassprepared under optimized conditions exhibits uniform porous distribution and suitable pore size with an apparent density of0.575 g/cm3 and water absorption of 4.61%. The research in this work could establish the technical foundation of red mudbasedporous material for industrial production.