Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GLOCOM.2010.5684214 | Global Telecommunications Conference |
Keywords | Field | DocType |
Internet telephony,Kalman filters,cryptography,data compression,data privacy,DTW algorithm,Kalman filter,VoIP system privacy,dynamic time warping,encrypted Skype communication,voice over IP | Data modeling,Dynamic time warping,Computer science,Cryptography,Computer network,Encryption,Kalman filter,Information privacy,Data compression,Voice over IP | Conference |
ISSN | ISBN | Citations |
1930-529X E-ISBN : 978-1-4244-5637-6 | 978-1-4244-5637-6 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benoît Dupasquier | 1 | 0 | 0.34 |
| Stefan Burschka | 2 | 43 | 4.87 |
| Kieran McLaughlin | 3 | 208 | 22.19 |
| Sakir Sezer | 4 | 1010 | 84.22 |