SIP-based VoIP traffic behavior profiling and its applications

Hun Jeong Kang, Zhi-Li Zhang, Supranamaya Ranjan, Antonio Nucci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 Scopus citations

Abstract

With the widespread adoption of SIP-based VoIP, understanding the characteristics of SIP traffic behavior is critical to problem diagnosis and security protection of IP Telephony. In this paper, we propose a general methodology for profiling SIP-based VoIP traffic behavior at multiple levels: SIP server host, server entity and individual user levels. Using SIP traffic traces captured in a production VoIP service, we illustrate the characteristics of SIP-based VoIP traffic behavior in an operational network and demonstrate the effectiveness of our general profiling methodology. In particular, we show how our profiling methodology can help identify performance anomalies through a case study.

Original languageEnglish (US)
Title of host publicationMineNet'07
Subtitle of host publicationProceedings of the Third Annual ACM Workshop on Mining Network Data
Pages39-44
Number of pages6
DOIs
StatePublished - 2007
EventMineNet'07: 3rd Annual ACM Workshop on Mining Network Data - San Diego, CA, United States
Duration: Jun 12 2007Jun 12 2007

Publication series

NameMineNet'07: Proceedings of the Third Annual ACM Workshop on Mining Network Data

Other

OtherMineNet'07: 3rd Annual ACM Workshop on Mining Network Data
CountryUnited States
CitySan Diego, CA
Period6/12/076/12/07

Keywords

  • SIP
  • Session initiation protocol
  • Traffic profiling

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