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2015•IEEE Latin America TransactionsRequires access

Capture and Analysis of Malicious Traffic in VoIP Environments Using a Low Interaction Honeypot

Ivan Riboldi Jordao da Silva Vargas, João Henrique Kleinschmidt

Open publisher page 11 citations

Abstract

The number of users of VoIP services is increasing every year. Consequently, VoIP systems get more attractive for attackers. This paper describes the implementation of a low interaction honeypot for monitoring illegal activities in VoIP environments. The honeypot operated during 92 days and collected 3502 events related to the SIP protocol. The analysis of the results allows understanding the modus operandi of the attacks targeted to VoIP infrastructures. These results may be used to improve defense mechanisms such as firewalls and intrusion detection systems.

About this research paper

What this paper is about

The number of users of VoIP services is increasing every year. Consequently, VoIP systems get more attractive for attackers. This paper describes the implementation of a low interaction honeypot for monitoring illegal activities in VoIP environments. The honeypot operated during 92 days and collected 3502 events related to the SIP protocol. The analysis of the results allows understanding the modus operandi of the attacks targeted to VoIP infrastructures. These results may be used to improve defense mechanisms such as firewalls and intrusion detection systems.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The number of users of VoIP services is increasing every year. Consequently, VoIP systems get more attractive for attackers. This paper describes the implementation of a low interaction honeypot for monitoring illegal activities in VoIP environments. The honeypot operated during 92 days and collected 3502 events related to the SIP protocol. The analysis of the results allows understanding the modus operandi of the attacks targeted to VoIP infrastructures. These results may be used to improve defense mechanisms such as firewalls and intrusion detection systems.

Key concepts: Honeypot, Voice over IP, Computer science, Computer security, Intrusion detection system, Computer network, Protocol (science), Mobile communications over IP

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