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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| Published in | Journal of physics. Conference series Vol. 1576; no. 1; pp. 12026 - 12032 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Bristol
IOP Publishing
01.06.2020
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| 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. |
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| AbstractList | 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. 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. |
| Author | Dong, Ligang Suo, Tongpeng Jiang, Xian |
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| Cites_doi | 10.1016/j.comnet.2008.11.016 10.1126/science.1127647 |
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| DOI | 10.1088/1742-6596/1576/1/012026 |
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| References | Santurkar (JPCS_1576_1_012026bib9) 2018 Memisevic (JPCS_1576_1_012026bib10) 2010 Bursztein (JPCS_1576_1_012026bib3) 2008 Li (JPCS_1576_1_012026bib7) 2009; 53 Shao (JPCS_1576_1_012026bib6) 2018 Shafiq (JPCS_1576_1_012026bib4) 2017 Hinton (JPCS_1576_1_012026bib8) 2006; 313 Sena (JPCS_1576_1_012026bib1) 2009; 9 Srivastava (JPCS_1576_1_012026bib11) 2014; 15 Lim (JPCS_1576_1_012026bib5) 2019 Luo (JPCS_1576_1_012026bib2) 2008 |
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| SubjectTerms | Algorithms Artificial neural networks Classification Communications traffic Internet Model accuracy Physics |
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| Title | Network Application Classification with DNN Model |
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