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Title: AutoFlowLeaker : circumventing web censorship through automation services
Authors: Hu, S 
Ma, X 
Jiang, M 
Luo, X 
Au, MH 
Issue Date: 2017
Publisher: IEEE Computer Society
Source: Proceedings of the IEEE Symposium on Reliable Distributed Systems, 2017, v. 2017-September, 8069084, p. 214-223 How to cite?
Abstract: By hiding messages inside existing network protocols, anti-censorship tools could empower censored users to visit blocked websites. However, existing solutions generally suffer from two limitations. First, they usually need the support of ISP or the deployment of many customized hosts to conceal the communication between censored users and blocked websites. Second, their manipulations of normal network traffic may result in detectable features, which could be captured by the censorship system. In this paper, to tackle these limitations, we propose a novel framework that exploits the publicly available automation services and the plenty of web services and contents to circumvent web censorship, and realize it in a practical tool named AutoFlowLeaker. Moreover, we conduct extensive experiments to evaluate AutoFlowLeaker, and the results show that it has promising performance and can effectively evade realworld web censorship.
Description: 36th IEEE International Symposium on Reliable Distributed Systems, SRDS 2017, Hong Kong, China, 26-29 September, 2017
ISBN: 9781538616796
ISSN: 1060-9857
DOI: 10.1109/SRDS.2017.30
Appears in Collections:Conference Paper

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