AutoFlowLeaker: Circumventing web censorship through automation services

Shengtuo Hu, Xiaobo Ma, Muhui Jiang, Xiapu Luo, Man Ho Au

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 36th International Symposium on Reliable Distributed Systems, SRDS 2017
PublisherIEEE Computer Society
Number of pages10
ISBN (Electronic)9781538616796
Publication statusPublished - 13 Oct 2017
Event36th IEEE International Symposium on Reliable Distributed Systems, SRDS 2017 - Hong Kong, Hong Kong
Duration: 26 Sept 201729 Sept 2017

Publication series

NameProceedings of the IEEE Symposium on Reliable Distributed Systems
ISSN (Print)1060-9857


Conference36th IEEE International Symposium on Reliable Distributed Systems, SRDS 2017
Country/TerritoryHong Kong
CityHong Kong

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications


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