Title :
Correlation-Based Traffic Analysis on Encrypted VoIP Traffic
Author :
Lu, Yuanchao ; Zhu, Ye
Author_Institution :
Dept. of Electr. & Comput. Eng., Cleveland State Univ., Cleveland, OH, USA
Abstract :
In this paper, we focus on traffic analysis on encrypted Voice over IP (VoIP) calls at the network level and the application level. The network-level traffic analysis aims to correlate VoIP traffic flows with features in time domain and frequency domain. The application-level traffic analysis at identify speeches in encrypt VoIP calls. We verified our analysis approaches with experiments over existing anonymity networks and experiments results show that the successful rate for flow correlation and speech identification can approach 0.9 and 0.98 respectively.
Keywords :
Internet telephony; speech coding; telecommunication traffic; application level traffic analysis; correlation-based traffic analysis; encrypted VoIP traffic; encrypted voice over IP network; flow correlation; network-level traffic analysis; speech identification; Computer security; Cryptography; Data mining; Feature extraction; Internet telephony; Privacy; Protection; Speech analysis; Telecommunication traffic; Wireless communication; Correlation; Traffic analysis; VoIP;
Conference_Titel :
Networks Security Wireless Communications and Trusted Computing (NSWCTC), 2010 Second International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-4011-5
Electronic_ISBN :
978-1-4244-6598-9
DOI :
10.1109/NSWCTC.2010.265
