Securing IMS against novel threats

Abstract

Fixed mobile convergence (FMC) based on the 3GPP IP Multimedia Subsystem (IMS) is considered one of the most important communication technologies of this decade. Yet this all-IP-based network technology brings about the growing danger of security vulnerabilities in communication and data services. Protecting IMS infrastructure servers against malicious exploits poses a major challenge due to the huge number of systems that may be affected. We approach this problem by proposing an architecture for an autonomous and self-sufficient monitoring and protection system for devices and infrastructure inspired by network intrusion detection techniques. The crucial feature of our system is a signature-less detection of abnormal events and zero-day attacks. These attacks may be hidden in a single message or spread across a sequence of messages. Anomalies identified at any of the network domain's ingresses can be further analyzed for discriminative patterns that can be immediately distributed to all edge nodes in the network domain

Molecular Accessibility and Diffusion of Resorufin in Zeolite Crystals

“…Details of the experimental methods, data analysis, and supplementary experiments (PDF) as well as a time‐lapse movie of the data shown in Figure 7a (AVI) may be found in the Supporting Information. The authors have also cited additional references here [52–79] …”

A Survey of Network and Information Security

“…The following presents the detecting methods against abnormal SIP messages. Wahl et al [10] presented a signature-based anomaly detection method in which SIP messages are embedded in a vector space to reflect the characteristics of the SIP traffic. The presented method first extracts feature strings using the definitions of ``tokens'' and ``n-grams'', then both global and local anomaly detection methods based on geometric learning models are used to detect unknown attacks.…”

Support Vector Machines

“…By contrast, the one-class SVM provides means for identifying unknown attacks automatically as novelties and thus has gained a strong focus in security research (e.g. Nassar et al, 2008;Wahl et al, 2009;Perdisci et al, 2009). Fig.…”