InforLorV4, Main, Exploration, bibRecord, 003511

Voice over IP Networks Monitoring and intrusion detection: A new approach to challenges and solutions

Identifieur interne : 003511 ( Main/Exploration ); précédent : 003510; suivant : 003512

Voice over IP Networks Monitoring and intrusion detection: A new approach to challenges and solutions

Auteurs : Mohamed El Baker Nassar [France]

Source :

RBID : Hal:inria-00438083

Abstract

Voice over IP (VoIP) has become a major paradigm for providing flexible telecommunication services and reducing operational costs. The large-scale deployment of VoIP has been leveraged by the high-speed broadband access to the Internet and the standardization of dedicated protocols. However, VoIP faces multiple security issues including vulnerabilities inherited from the IP layer as well as specific ones. Our objective is to design, implement and validate new models and architectures for performing proactive defense, monitoring and intrusion detection in VoIP networks. Our work combines two domains: network security and artificial intelligence. We reinforce existent security mechanisms by working on three axes: a machine learning approach for VoIP signaling traffic monitoring, a VoIP specific honeypot and a security event correlation model for intrusion detection.

Url:

https://hal.inria.fr/inria-00438083

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 005315
to stream Hal, to step Curation: 005315
to stream Hal, to step Checkpoint: 002B74
to stream Main, to step Merge: 003595
to stream Main, to step Curation: 003511

Le document en format XML

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<front><div type="abstract" xml:lang="en">Voice over IP (VoIP) has become a major paradigm for providing flexible telecommunication services and reducing operational costs. The large-scale deployment of VoIP has been leveraged by the high-speed broadband access to the Internet and the standardization of dedicated protocols. However, VoIP faces multiple security issues including vulnerabilities inherited from the IP layer as well as specific ones. Our objective is to design, implement and validate new models and architectures for performing proactive defense, monitoring and intrusion detection in VoIP networks. Our work combines two domains: network security and artificial intelligence. We reinforce existent security mechanisms by working on three axes: a machine learning approach for VoIP signaling traffic monitoring, a VoIP specific honeypot and a security event correlation model for intrusion detection.</div>
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Voice over IP Networks Monitoring and intrusion detection: A new approach to challenges and solutions

Voice over IP Networks Monitoring and intrusion detection: A new approach to challenges and solutions

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri