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

Zheng, Lu and Peng, Taoxin (2009) The VoIP intrusion detection through a LVQ-based neural network. In: The 4th International Conference for Internet Technology and Secured Transactions, 2009 November, London, UK. (Unpublished)

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Abstract/Description

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Voice over Internet Protocol; internet; security; LVQ neural network; detection; voice streams; runtime impact;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 600 Technology > 620 Engineering > 621 Electronic & mechanical engineering > 621.3 Electrical & electronic engineering > 621.38 Electronics & Communications engineering > 621.389 Computer engineering
000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
600 Technology > 620 Engineering > 621 Electronic & mechanical engineering > 621.3 Electrical & electronic engineering > 621.38 Electronics & Communications engineering > 621.382 Communications engineering > 621.3821 Communications networks
Library of Congress Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3539
Depositing User: Computing Research
Date Deposited: 06 Jan 2010 10:25
Last Modified: 05 Mar 2010 13:01
URI: http://researchrepository.napier.ac.uk/id/eprint/3539

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