Abstract
The privacy of voice over IP (VoIP) systems is achieved by compressing and encrypting the sampled data. This paper investigates in detail the leakage of information from Skype, a widely used VoIP application. In this research, it has been demonstrated by using the dynamic time warping (DTW) algorithm, that sentences can be identified with an accuracy of 60%. The results can be further improved by choosing specific training data. An approach involving the Kalman filter is proposed to extract the kernel of all training signals.
Original language | English |
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Title of host publication | 2010 IEEE Global Telecommunications Conference (GLOBECOM 2010) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-5 |
ISBN (Electronic) | 978-1-4244-5637-6 |
ISBN (Print) | 978-1-4244-5636-9 |
DOIs | |
Publication status | Published - Dec 2010 |
Event | IEEE Global Communications Conference 2010 - Miami, United States Duration: 06 Dec 2010 → 10 Dec 2010 |
Conference
Conference | IEEE Global Communications Conference 2010 |
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Abbreviated title | GLOBECOM 2010 |
Country/Territory | United States |
City | Miami |
Period | 06/12/2010 → 10/12/2010 |