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EAGER: TC: Collaborative Research: Experimental Study of Accountability in Existing Anonymous Networks

EAGER: TC: Collaborative Research: Experimental Study of Accountability in Existing Anonymous Networks
EAGER:TC:协作研究:现有匿名网络问责制的实验研究
批准号:
1041739
负责人:
Yingfei Dong
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2012-12-31

项目摘要

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中文摘要
翻译
为了阻止为言论自由而设计的匿名工具被犯罪分子滥用,该项目通过利用两个独特的视角,研究了追踪犯罪分子的实际解决方案,同时支持良性用户的言论自由。一是利用执法资源优势,探讨匿名工具的局限性。由于犯罪分子通常没有资源来构建大规模系统,他们不得不依靠现有的匿名工具和第三方资源来隐藏他们的踪迹。第二,所提出的解决方案旨在捕获一些罪犯,而在开始时没有特定的目标。这一假设大大简化了系统设计,使之切实可行,不同于一般的回溯解决方案从一开始就针对特定目标,大规模部署通常需要很高的成本。本项目将研究Freenet在异步通信方面和Tor在交互式通信方面的实施局限性,并为执法部门制定追溯解决方案,以确定恶意交易的数据来源和参与方。有效的方法来渗透这些系统将被设计为集体交通分析。通过关注已知的恶意数据共享以进一步识别恶意方,所提出的解决方案将本地化数据源和通信方。与此同时,保护良性用户的有效机制?此外,我们亦会研究私隐问题。建议的研究将为打击网上罪行提供重要的资料。PI将整合研究和教育,通过NHSEMP计划招募本科生和研究生。欲了解更多信息,请访问项目网站http://www.ee.hawaii.edu/~dong/traceback。
英文摘要
To stop anonymous tools designed for free speech from being abused by criminals, this project investigates practical solutions to trace back criminals while support free speech for benign users, by exploiting two unique perspectives. First, it utilizes the resource advantages of law enforcement to explore the limitations of anonymous tools. As criminals operated from remote locations usually do not have resources to build large-scale systems, they have to rely on existing anonymous tools with third-party resources to hide their traces. Second, the proposed solutions aim to capture some criminals, without a specific target at the beginning. Such assumption greatly simplifies the system design and makes it feasible, different from common traceback solutions which aim at a specific target from the start and usually require heavy costs for large-scaled deployment.This project will examine the implementation limitations of Freenet for asynchronous communications and Tor for interactive communications, and develop tracing back solutions for law enforcement to identify data sources and parties involved in malicious transactions. Effective methods to penetrate these systems will be designed for collective traffic analysis. By focusing on known malicious data sharing to further identify malicious parties, the proposed solutions will localize data sources and communication parties. Meanwhile, effective mechanisms for protecting benign users? privacy will also be investigated.The proposed research will provide significant insights to fight cyber crimes. The PIs will integrate research and education to recruit undergraduate and graduate via NHSEMP Program. For further information, see the project website at http://www.ee.hawaii.edu/~dong/traceback.
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