Network Application Classification with DNN Model

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 effect...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1576; no. 1; pp. 12026 - 12032
Main Authors Dong, Ligang, Suo, Tongpeng, Jiang, Xian
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.06.2020
Subjects
Algorithms
Artificial neural networks
Classification
Communications traffic
Internet
Model accuracy
Physics
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Summary: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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1576/1/012026