Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 142-152 |
| Journal | IEEE Access |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- network monitoring
- modeling
- MSC
- Pcap
- XML
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Automatic model creation to support network monitoring. / Määttä, Marko; Räty, Tomi.
In: IEEE Access, Vol. 2, 2014, p. 142-152.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Automatic model creation to support network monitoring
AU - Määttä, Marko
AU - Räty, Tomi
N1 - Project code: 76293
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - network monitoring
KW - modeling
KW - MSC
KW - Pcap
KW - XML
U2 - 10.1109/ACCESS.2014.2308320
DO - 10.1109/ACCESS.2014.2308320
M3 - Article
VL - 2
SP - 142
EP - 152
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
ER -