Automatic Model Creation to Support Network Monitoring
The large variety of network traffic sets many challenges in modeling the essential aspects of network traffic flows. Analyzing and collecting features for the model creation process from the network traffic traces is a time-consuming and error-prone task. Automating these procedures are a challenge...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2014-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/6748008/ |
| _version_ | 1818329664378109952 |
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| author | Marko Maatta Tomi Raty |
| author_facet | Marko Maatta Tomi Raty |
| author_sort | Marko Maatta |
| collection | DOAJ |
| description | The large variety of network traffic sets many challenges in modeling the essential aspects of network traffic flows. Analyzing and collecting features for the model creation process from the network traffic traces is a time-consuming and error-prone task. Automating these procedures are a challenge. The research problem discussed in this paper concentrates on the analysis and collection of features from the network traffic traces for the model development process, by automating the analysis and collection. The proposed system of this paper, called MGtoolV2, supports the model development process through the automation of collection and analysis in the actual model creation procedures. The model development process aims to enhance the development of a model by reducing the development cost and time. The proposed tool automatically creates large sets of models according to the network traffic traces and minimizes the errors of manual modeling. The experiments conducted with MGtoolV2 indicate that the tool is able to create the models from the traffic traces cost effectively. MGtoolV2 is able to unify similarities between packets, to create very detailed models describing specific information, and to raise the abstraction level of the created models. The research is based on the constructive method of the related publications and technologies, and the results are established from the testing, validation, and analysis of the implemented MGtoolV2. |
| first_indexed | 2024-12-13T12:51:39Z |
| format | Article |
| id | doaj.art-dd14eabc770f40788c155bf8b38f5005 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T12:51:39Z |
| publishDate | 2014-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dd14eabc770f40788c155bf8b38f50052022-12-21T23:45:19ZengIEEEIEEE Access2169-35362014-01-01214215210.1109/ACCESS.2014.23083206748008Automatic Model Creation to Support Network MonitoringMarko Maatta0Tomi Raty1VTT Technical Research Centre of Finland, Oulu, FinlandVTT Technical Research Centre of Finland, Oulu, FinlandThe large variety of network traffic sets many challenges in modeling the essential aspects of network traffic flows. Analyzing and collecting features for the model creation process from the network traffic traces is a time-consuming and error-prone task. Automating these procedures are a challenge. The research problem discussed in this paper concentrates on the analysis and collection of features from the network traffic traces for the model development process, by automating the analysis and collection. The proposed system of this paper, called MGtoolV2, supports the model development process through the automation of collection and analysis in the actual model creation procedures. The model development process aims to enhance the development of a model by reducing the development cost and time. The proposed tool automatically creates large sets of models according to the network traffic traces and minimizes the errors of manual modeling. The experiments conducted with MGtoolV2 indicate that the tool is able to create the models from the traffic traces cost effectively. MGtoolV2 is able to unify similarities between packets, to create very detailed models describing specific information, and to raise the abstraction level of the created models. The research is based on the constructive method of the related publications and technologies, and the results are established from the testing, validation, and analysis of the implemented MGtoolV2.https://ieeexplore.ieee.org/document/6748008/Network monitoringmodelingMSCPcapXML |
| spellingShingle | Marko Maatta Tomi Raty Automatic Model Creation to Support Network Monitoring IEEE Access Network monitoring modeling MSC Pcap XML |
| title | Automatic Model Creation to Support Network Monitoring |
| title_full | Automatic Model Creation to Support Network Monitoring |
| title_fullStr | Automatic Model Creation to Support Network Monitoring |
| title_full_unstemmed | Automatic Model Creation to Support Network Monitoring |
| title_short | Automatic Model Creation to Support Network Monitoring |
| title_sort | automatic model creation to support network monitoring |
| topic | Network monitoring modeling MSC Pcap XML |
| url | https://ieeexplore.ieee.org/document/6748008/ |
| work_keys_str_mv | AT markomaatta automaticmodelcreationtosupportnetworkmonitoring AT tomiraty automaticmodelcreationtosupportnetworkmonitoring |