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

Volume

2

fYear

2010

fDate

24-25 April 2010

Firstpage

45

Lastpage

48

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NSWCTC.2010.265

Filename

5480425