Traffic classification and identification in modern networks is of fundamental importance to both network management and security. Due to increasing demand for security and Quality of Service (QoS) in converged networks, accurate traffic classification becomes an integral part of network management. This research presents a novel technique for Voice over Internet Protocol (VoIP) traffic classification in IP Security (IPSec) tunneled networks and demonstrates how this can be used to achieve acceptable QoS in an overloaded network. The proposed solution uses the well known IP tables framework and its Application Programming Interface (API). Importantly the algorithm developed makes very low demands on CPU time and memory unlike other algorithms found in the literature. This work attracted attention from industry; Exinda Proprietary Limited invested $ 7000 Australian dollars for ongoing research and its possible application to commercial devices. This research has been demonstrated and took its place in two IEEE (Institute of Electrical and Electronics Engineers) sponsored conference proceedings, one in Seoul, Korea (ICACT 2010) and another in Kyoto, Japan (ICEIE 2010).
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