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

Zheng, Lu; Peng, Taoxin

Abstract

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.

Citation

Zheng, L., & Peng, T. (2009, November). The VoIP intrusion detection through a LVQ-based neural network. Paper presented at The 4th International Conference for Internet Technology and Secured Transactions

• Presentation Conference Type: Conference Paper (unpublished)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• Peer Reviewed: Not Peer Reviewed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: http://researchrepository.napier.ac.uk/id/eprint/3539
• Contract Date: May 16, 2017