CAREER: Sustainable Censorship Resistance Systems for the Next Decade
CAREER: Sustainable Censorship Resistance Systems for the Next Decade
批准号:
1553301
负责人:
Amir Houmansadr
金额:
$58.15万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2022-06-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The Internet enables people around the world to communicate, fostering free speech, a free press, and democracy. For billions of people, however, the freedom to communicate via the Internet is regulated, monitored and restricted by governments or corporations. To combat such censorship, researchers have designed and deployed a variety of censorship circumvention systems. Unfortunately, such systems have been designed based on ad hoc heuristics (rather than on solid, theoretical foundations) and can be defeated by typical state-level censors. This research project is developing theory, methodologies, and tools to formally design, evaluate, and compare censorship resistance systems. The researchers are developing a formal model for the Internet censorship problem based on theoretical foundations. In particular, they are deriving a standard set of metrics for modeling the parties involved in each Internet censorship scenario, and leverage game theory, network science, and information theory for the analysis of specific censorship resistance systems. An important part of this project is the design and deployment of effective censorship resistance systems that will provide reliable, sustainable censorship resistance to Internet users. One approach being targeted by the researchers is leveraging emerging communication paradigms such as content caching, mobility, and cloud computing in the design of censorship circumvention tools. The second approach targeted by the researchers is adapting the design of circumvention systems to the architectural evolutions of the Internet. Specifically, the researchers are investigating the impacts of software-defined networking (SDN) and network functions virtualization (NFV) on Internet censorship and adapting the design of circumvention systems to ensure sustainable circumvention performance for the future.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
回到绘图板:对生产联邦学习的中毒攻击的批判性评估
DOI:
10.1109/sp46214.2022.9833647
发表时间:
2022
期刊:
2022 IEEE Symposium on Security and Privacy (SP
影响因子:
--
作者:
[Shejwalkar, Virat, Houmansadr, Amir, Kairouz, Peter, Ramage, Daniel]
通讯作者:
Ramage, Daniel
DOI:
10.56553/popets-2022-0112
发表时间:
2022-10
期刊:
Proc. Priv. Enhancing Technol.
影响因子:
--
作者:
[Xinyu Tang;Milad Nasr;Saeed Mahloujifar;Virat Shejwalkar;Liwei Song;Amir Houmansadr;Prateek]
通讯作者:
Xinyu Tang;Milad Nasr;Saeed Mahloujifar;Virat Shejwalkar;Liwei Song;Amir Houmansadr;Prateek
FINN: Fingerprinting Network Flows using Neural Networks
FINN:使用神经网络对网络流进行指纹识别
DOI:
10.1145/3485832.3488010
发表时间:
2021
期刊:
Annual Computer Security Applications Conference
影响因子:
--
作者:
[Rezaei, Fatemeh, Houmansadr, Amir]
通讯作者:
Houmansadr, Amir
Collaborative Research: SaTC: CORE: Medium: Towards Secure Federated Learning
-
批准号:2131910
-
项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2022
-
负责人:Amir Houmansadr
-
依托单位:
SaTC: CORE: Medium: Collaborative: Studying the Impact of IPv6 on Information Controls and Censorship Circumvention
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批准号:1953786
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项目类别:Standard Grant
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资助金额:$40.0万
-
财政年份:2020
-
负责人:Amir Houmansadr
-
依托单位:
TWC: Small: Linking the Unlinkable: Design, Analysis, and Implementation of Network Flow Fingerprints for Fine-grained Traffic Analysis
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批准号:1525642
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项目类别:Standard Grant
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资助金额:$49.97万
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财政年份:2015
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负责人:Amir Houmansadr
-
依托单位:
海外基金