Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
BARTOŠ, V.
Originální název
Using Application-Aware Flow Monitoring for SIP Fraud Detection
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
flow monitoring, network security, VoIP, SIP, fraud
Autoři
Rok RIV
2015
Vydáno
22. 6. 2015
Nakladatel
Springer International Publishing
Místo
Ghent
ISBN
978-3-319-20033-0
Kniha
Intelligent Mechanisms for Network Configuration and Security,
Edice
Lecture Notes in Computer Science
Strany od
87
Strany do
99
Strany počet
13
BibTex
@inproceedings{BUT119817, author="Václav {Bartoš}", title="Using Application-Aware Flow Monitoring for SIP Fraud Detection", booktitle="Intelligent Mechanisms for Network Configuration and Security,", year="2015", series="Lecture Notes in Computer Science", volume="9122", pages="87--99", publisher="Springer International Publishing", address="Ghent", doi="10.1007/978-3-319-20034-7\{_}10", isbn="978-3-319-20033-0" }