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Using Application-Aware Flow Monitoring for SIP Fraud Detection

  • Tomas CejkaEmail author
  • Vaclav Bartos
  • Lukas Truxa
  • Hana Kubatova
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9122)

Abstract

Flow monitoring helps to discover many network security threats targeted to various applications or network protocols. In this paper, we show usage of the flow data for analysis of a Voice over IP (VoIP) traffic and a threat detection. A traditionally used flow record is insufficient for this purpose and therefore it was extended by application-layer information. In particular, we focus on the Session Initiation Protocol (SIP) and the type of a toll-fraud in which an attacker tries to exploit poor configuration of a private branch exchange (PBX). The attacker’s motivation is to make unauthorized calls to PSTN numbers that are usually charged at high rates and owned by the attacker. As a result, a successful attack can cause a significant financial loss to the owner of PBX. We propose a method for stream-wise and near real-time analysis of the SIP traffic and detection of the described threat. The method was implemented as a module of the Nemea system and deployed on a backbone network. It was evaluated using simulated as well as real attacks.

Keywords

Session Initiation Protocol Session Initiation Protocol Server Monitoring Probe Session Initiation Protocol Message Real Attack 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Tomas Cejka
    • 1
    Email author
  • Vaclav Bartos
    • 2
  • Lukas Truxa
    • 1
  • Hana Kubatova
    • 3
  1. 1.CESNET, a.l.e.Prague 6Czech Republic
  2. 2.Faculty of Information TechnologyBrno University of TechnologyBrnoCzech Republic
  3. 3.CTU in Prague, FITPrague 6Czech Republic

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