Faculty of Information Technology, BUT

Publication Details

Fast RTP Detection and Codecs Classification in Internet Traffic

MATOUŠEK Petr, RYŠAVÝ Ondřej and KMEŤ Martin. Fast RTP Detection and Codecs Classification in Internet Traffic. The Journal of Digital Forensics, Security and Law, vol. 2014, no. 2, pp. 99-110. ISSN 1558-7215. Available from: https://commons.erau.edu/jdfsl/vol9/iss2/9/
Czech title
Rychlá detekce RTP a klasifikace kodeků v internetovém provozu
Type
journal article
Language
english
Authors
Matoušek Petr, Ing., Ph.D., M.A. (DIFS FIT BUT)
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT)
Kmeť Martin, Ing. (FIT BUT)
URL
Keywords
network forensics, RTP detection, codec identification, VoIP
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. 
Published
2014
Pages
99-110
Journal
The Journal of Digital Forensics, Security and Law, vol. 2014, no. 2, ISSN 1558-7215
Publisher
Association of Digital Forensics, Security and Law
DOI
BibTeX
@ARTICLE{FITPUB10641,
   author = "Petr Matou\v{s}ek and Ond\v{r}ej Ry\v{s}av\'{y} and Martin Kme\v{t}",
   title = "Fast RTP Detection and Codecs Classification in Internet Traffic",
   pages = "99--110",
   journal = "The Journal of Digital Forensics, Security and Law",
   volume = 2014,
   number = 2,
   year = 2014,
   ISSN = "1558-7215",
   doi = "10.15394/jdfsl.2014.1174",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10641"
}
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