Managing Risks at Runtime in VoIP Networks and Services
Identifieur interne : 003056 ( Main/Exploration ); précédent : 003055; suivant : 003057Managing Risks at Runtime in VoIP Networks and Services
Auteurs : Oussema Dabbebi [France] ; Remi Badonnel [France] ; Olivier Festor [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: IP telephony is less confined than traditional PSTN telephony. As a consequence, it is more exposed to security attacks. These attacks are specific to VoIP protocols such as SPIT, or are inherited from the IP layer such as ARP poisoning. Protection mechanisms are often available, but they may seriously impact on the quality of service of such critical environments. We propose to exploit and automate risk management methods and techniques for VoIP infrastructures. Our objective is to dynamically adapt the exposure of a VoIP network with regard to the attack potentiality while minimizing the impact for the service. This paper describes the challenges of risk management for VoIP, our runtime strategy for assessing and treating risks, preliminary results based on Monte-Carlo simulations and future work.
Url:
DOI: 10.1007/978-3-642-13986-4_11
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: IP telephony is less confined than traditional PSTN telephony. As a consequence, it is more exposed to security attacks. These attacks are specific to VoIP protocols such as SPIT, or are inherited from the IP layer such as ARP poisoning. Protection mechanisms are often available, but they may seriously impact on the quality of service of such critical environments. We propose to exploit and automate risk management methods and techniques for VoIP infrastructures. Our objective is to dynamically adapt the exposure of a VoIP network with regard to the attack potentiality while minimizing the impact for the service. This paper describes the challenges of risk management for VoIP, our runtime strategy for assessing and treating risks, preliminary results based on Monte-Carlo simulations and future work.</div>
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