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The VoIP intrusion detection through a LVQ-based neural network.

Zheng, Lu; Peng, Taoxin


Lu Zheng


Being a fast-growing Internet application, Voice over Internet Protocol shares the network resources with the regular Internet traffic. However it is susceptible to the existing security holes of the Internet. In this paper, a highly effective VoIP intrusion detection approach based on LVQ neural network is proposed. This detection approach is particularly suitable for protecting VoIP applications, in which various protocols are involved to provide IP telephony services. Experiments of the proposed approach show promising detection accuracy and a low runtime impact on the perceived quality of voice streams.

Presentation Conference Type Conference Paper (unpublished)
Conference Name The 4th International Conference for Internet Technology and Secured Transactions
Start Date Nov 1, 2009
End Date Nov 1, 2009
Publication Date 2009-11
Deposit Date Jan 6, 2010
Publicly Available Date May 16, 2017
Peer Reviewed Not Peer Reviewed
Keywords Voice over Internet Protocol; internet; security; LVQ neural network; detection; voice streams; runtime impact;
Public URL
Contract Date May 16, 2017


The VoIP intrusion detection through a LVQ-based neural network. (310 Kb)

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