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arXiv 1605.04044cs.NIcs.CR
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网络流量混淆和自动互联网审查

Network Traffic Obfuscation and Automated Internet Censorship

Lucas Dixon, Thomas Ristenpart, Thomas Shrimpton

摘要:

互联网审查员寻求方法来识别和阻止互联网访问他们认为令人反感的信息。审查机构越来越多地部署高级网络工具,如深度数据包检测(DPI)来识别此类连接。作为回应,活动家和学术研究人员开发并部署了网络流量混淆机制。这些应用专门的加密工具来试图向DPI隐藏连接的真实性质和内容。在这项调查中,我们概述了网络流量混淆及其在规避互联网审查中的作用。我们提供了历史和技术背景,激励需要混淆工具,并给出了一个概述的方法混淆使用的最先进的工具。我们讨论了审查机构如何发现这些努力的最新研究。我们还描述了审查规避研究目前面临的挑战,并确定具体的方法,为社会应对这些挑战。

英文摘要:

Internet censors seek ways to identify and block internet access to information they deem objectionable. Increasingly, censors deploy advanced networking tools such as deep-packet inspection (DPI) to identify such connections. In response, activists and academic researchers have developed and deployed network traffic obfuscation mechanisms. These apply specialized cryptographic tools to attempt to hide from DPI the true nature and content of connections. In this survey, we give an overview of network traffic obfuscation and its role in circumventing Internet censorship. We provide historical and technical background that motivates the need for obfuscation tools, and give an overview of approaches to obfuscation used by state of the art tools. We discuss the latest research on how censors might detect these efforts. We also describe the current challenges to censorship circumvention research and identify concrete ways for the community to address these challenges.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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