VoIP-aware network attack detection based on statistics and behavior of SIP traffic

Jonghan Lee, Kyumin Cho, Chang Yong Lee, Seungjoo Kim

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

VoIP is one of the most popular Internet services. However, VoIP service is vulnerable to several potential security threats. Moreover, existing IP-based security solutions are unable to inspect call setup information. In this paper, we propose a VoIP-aware attack-detection scheme. The proposed scheme is able to detect VoIP network attacks including VoIP DoS and SPAM. It can detect VoIP DoS attacks with low false negatives using a statistics-based detection algorithm and can recognize SPAM with low false positives using a caller behavior-based detection algorithm. We have included experimental results to confirm the proposed scheme.

Original languageEnglish
Pages (from-to)872-880
Number of pages9
JournalPeer-to-Peer Networking and Applications
Volume8
Issue number5
DOIs
Publication statusPublished - 2015 Sep 7

Keywords

  • Attack detection
  • Behavior-based detection
  • SIP
  • SPAM
  • Statistic-based detection
  • VoIP
  • VoIP DoS

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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