Abstract
Service classification technology helps service suppliers understand how to use network services that offer personalized services to users. In this study, machine learning technology is used to classify such services, called mobile Internet applications (APPs). Firstly traffic of different application is collected and is used to build model by using C4.5 and SVM algorithm. Secondly, the model is used to classify the application type from the mobile internet traffic. Then traffic of applications is merged as major class by application type such as web browsing, e-commerce and the above two algorithms are applied to classify the major class that different applications belong to. Finally the Precision and Recall ration of two algorithms are compared and analyzed. Mobile stream video/audio is better recognized than Mobile app using http by using machine learning method. In order to improve the mobile application classification result, the only machine learning algorithm is not enough.
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Li, Y. (2020). Mobile Internet Application Classification Based on Machine Learning. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_44
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DOI: https://doi.org/10.1007/978-3-030-14680-1_44
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