Title :
Anonymity analysis of mix networks against flow-correlation attacks
Author :
Zhu, Ye ; Fu, Xinwen ; Bettati, Riccardo ; Zhao, Wei
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
fDate :
28 Nov.-2 Dec. 2005
Abstract :
Mix networks are designed to provide anonymity for users in a variety of applications, including anonymous Web browsing and numerous E-commerce systems. Such networks have been shown to be susceptible to flow correlation attacks empirically. In this paper, we model the effectiveness of flow correlation attacks. Our results illustrate the quantitative relationship among system parameters such as sample size, noise level, payload flow rate, and detection rate. Our analysis quantitatively predicts how existing flow-based anonymous systems would fail under flow-correlation attacks, thus providing useful guidelines for the design of future anonymous systems.
Keywords :
computer networks; telecommunication security; E-commerce systems; anonymity analysis; anonymous Web browsing; detection rate; flow-correlation attacks; mix networks; noise level; payload flow rate; sample size; Application software; Computer science; Cryptography; Failure analysis; Guidelines; Noise level; Payloads; Relays; Telecommunication traffic; Timing;
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Print_ISBN :
0-7803-9414-3
DOI :
10.1109/GLOCOM.2005.1577959
