Network Application Classification with DNN Model
Ligang Dong, Tongpeng Suo, Xian Li Jiang · Journal of Physics Conference Series · 2020
Abstract Due to the development of information technology, there are many kinds of Internet applications. Many network applications not only bring great challenges to the quality of network services but also have an impact on Internet security. In order to efficiently use network resources and provide effective management and control measures for network managers, network traffic needs to be classified. At present, many traffic classification algorithms are not accurate enough, which affect the evaluation and further study of the network. Therefore, the innovation of this paper is to propose a network application classification model. This model uses Deep Neural Network (DNN). Different pretreatment methods are used for data sets to increase the accuracy. This model is compared with other models to prove the effectiveness of the work.