Automatic model creation to support network monitoring

Marko Määttä, Tomi Räty

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)

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 languageEnglish
Pages (from-to)142-152
JournalIEEE Access
Volume2
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

Fingerprint

Monitoring
Costs
Automation
Testing
Experiments

Keywords

  • network monitoring
  • modeling
  • MSC
  • Pcap
  • XML

Cite this

Määttä, Marko ; Räty, Tomi. / Automatic model creation to support network monitoring. In: IEEE Access. 2014 ; Vol. 2. pp. 142-152.
@article{4425e67e3f6349c1b6813345aeaff262,
title = "Automatic model creation to support network monitoring",
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.",
keywords = "network monitoring, modeling, MSC, Pcap, XML",
author = "Marko M{\"a}{\"a}tt{\"a} and Tomi R{\"a}ty",
note = "Project code: 76293",
year = "2014",
doi = "10.1109/ACCESS.2014.2308320",
language = "English",
volume = "2",
pages = "142--152",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "IEEE Institute of Electrical and Electronic Engineers",

}

Automatic model creation to support network monitoring. / Määttä, Marko; Räty, Tomi.

In: IEEE Access, Vol. 2, 2014, p. 142-152.

Research output: Contribution to journalArticleScientificpeer-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 -