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.
|Title of host publication||2010 IEEE Global Telecommunications Conference (GLOBECOM 2010)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Publication status||Published - Dec 2010|
|Event||IEEE Global Telecommunications Conference (GLOBECOM) 2010 - Florida, Miami, United States|
Duration: 06 Dec 2010 → …
|Conference||IEEE Global Telecommunications Conference (GLOBECOM) 2010|
|Period||06/12/2010 → …|