Result Details

Fast RTP Detection and Codecs Classification in Internet Traffic

MATOUŠEK, P.; RYŠAVÝ, O.; KMEŤ, M. Fast RTP Detection and Codecs Classification in Internet Traffic. Journal of Digital Forensics Security and Law, 2014, vol. 2014, no. 2, p. 99-110. ISSN: 1558-7215.
Type
journal article
Language
English
Authors
Matoušek Petr, doc. Ing., Ph.D., M.A., DIFS (FIT)
Ryšavý Ondřej, doc. Ing., Ph.D., DIFS (FIT)
Kmeť Martin, Ing., DIFS (FIT), DCGM (FIT)
Abstract

This paper presents a fast multi-stage method for on-line detection of RTP streams and codec identification of transmitted voice or video traffic. The method includes an RTP detector that filters packets based on specific values from UDP and RTP headers. When an RTP stream is successfully detected, codec identification is applied using codec feature sets. The paper shows advantages and limitations of the method and its comparison with other approaches. The method was implemented as a part of network forensics framework NetFox developed in project SEC6NET. Results show that the method can  be  successfully used for Lawful Interception as well as for network monitoring. 

Keywords

network forensics, RTP detection, codec identification, VoIP

URL
Published
2014
Pages
99–110
Journal
Journal of Digital Forensics Security and Law, vol. 2014, no. 2, ISSN 1558-7215
DOI
BibTeX
@article{BUT111596,
  author="Petr {Matoušek} and Ondřej {Ryšavý} and Martin {Kmeť}",
  title="Fast RTP Detection and Codecs Classification in Internet Traffic",
  journal="Journal of Digital Forensics Security and Law",
  year="2014",
  volume="2014",
  number="2",
  pages="99--110",
  doi="10.15394/jdfsl.2014.1174",
  issn="1558-7215",
  url="https://commons.erau.edu/jdfsl/vol9/iss2/9/"
}
Files
Projects
Modern Tools for Detection and Mitigation of Cyber Criminality on the New Generation Internet, MV, Program bezpečnostního výzkumu České republiky 2010 - 2015, VG20102015022, start: 2010-10-01, end: 2015-09-30, completed
Výzkum pokročilých metod ICT a jejich aplikace, BUT, Vnitřní projekty VUT, FIT-S-14-2299, start: 2014-01-01, end: 2016-12-31, completed
Research groups
Departments
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