Abstract
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.
Original language | English |
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Pages (from-to) | 142-152 |
Journal | IEEE Access |
Volume | 2 |
DOIs | |
Publication status | Published - 2014 |
MoE publication type | A1 Journal article-refereed |
Keywords
- network monitoring
- modeling
- MSC
- Pcap
- XML