Articles liés à Voice over IP Networks Monitoring & Intrusion Detection:...

Voice over IP Networks Monitoring & Intrusion Detection: A new approach to challenges & solutions - Couverture souple

Nassar, Mohamed

 
9783838302904: Voice over IP Networks Monitoring & Intrusion Detection: A new approach to challenges & solutions
Couverture souple
ISBN 10 : 3838302907 ISBN 13 : 9783838302904
Editeur : LAP LAMBERT Academic Publishing, 2009

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

Mohamed Nassar is currently a research engineer at INRIA research center, Nancy, France. He holds an engineering diploma in computer sciences and telecommunications from the Lebanese University, Lebanon (2004), a Master research degree (2005) and a PhD degree (2009) from the Henri-Poincaré University, Nancy, France.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838302907
ISBN 13 
9783838302904
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
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