EAGER: Towards a Traffic Analysis Resistant Internet Architecture
EAGER: Towards a Traffic Analysis Resistant Internet Architecture
批准号:
1643020
负责人:
Kuang-Ching Wang
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-11-01 至 2021-10-31
中文摘要
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英文摘要
Many nation states restrict citizen access to information over the Internet by analyzing Internet users' traffic and then blocking traffic deemed controversial or antithetical to the views of the nation state. This project explores an alternative end-to-end network architecture that removes the vulnerability of citizens to traffic analysis. The researchers propose alternative Internet architecture and protocol designs, assesses the impact of such designs on Internet stakeholders, and provide assessment methods for correctness, performance, and scalability of the alternative design. The project broadly impacts multiple domains and research communities, from the network security and anti-censorship communities to those who design and run the Internet. Assuring that individuals around the world can easily access information over the Internet is one of the core, driving principles behind this project.Traffic analysis uses packet meta-data and side-channels to infer information about communication sessions, encrypted or not, running over a network. Proxy services make traffic analysis difficult by inserting intermediate nodes between packet source and destination, but their success is limited. They can be detected and blocked. The core concept binds communications sessions to dynamic, short-lived, and seemingly random Internet Protocol (IP) addresses. This fundamentally impacts multiple aspects of the Internet: the domain name system (DNS), IP addressing/routing, and packet forwarding. This EAGER project will explore the solution space (scope, capabilities, impact), identify strategies for realization, and develop a prototype to assess key properties of the approach. The project's intellectual merit includes host and network methods based on ephemeral, pseudo-random IP addresses, IPv6 addressing and inter-domain routing, and SDX architecture/functions.
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DOI:
10.1016/j.cose.2020.101777
发表时间:
2020-02
期刊:
Comput. Secur.
影响因子:
--
作者:
[Jon Oakley;Lu Yu;Xingsi Zhong;G. Venayagamoorthy;R. Brooks]
通讯作者:
Jon Oakley;Lu Yu;Xingsi Zhong;G. Venayagamoorthy;R. Brooks
DOI:
10.1109/icnp.2019.8888134
发表时间:
2019-10
期刊:
2019 IEEE 27th International Conference on Network Protocols (ICNP)
影响因子:
--
作者:
[Nathan Tusing;Jon Oakley;Geddings Barrineau;Lu Yu;Kuang-Ching Wang;R. Brooks]
通讯作者:
Nathan Tusing;Jon Oakley;Geddings Barrineau;Lu Yu;Kuang-Ching Wang;R. Brooks
TARN: A SDN-based traffic analysis resistant network architecture
TARN:基于SDN的抗流量分析网络架构
DOI:
10.1109/malware.2017.8323961
发表时间:
2017
期刊:
Proceedings for 2017 12th International Conference on Malicious and Unwanted Software (MALWARE
影响因子:
--
作者:
[Yu, Lu, Wang, Qing, Barrineau, Geddings, Oakley, Jon, Brooks, Richard R., Wang, Kuang-Ching]
通讯作者:
Wang, Kuang-Ching
Traffic Analysis Countermeasures Using Software-Defined Internet Exchanges
使用软件定义的互联网交换的流量分析对策
DOI:
10.1109/monetec.2018.8572098
发表时间:
2018
期刊:
Proceedings for the 2018 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC
影响因子:
--
作者:
[Brooks, R.R., Wang, Kuang-Ching, Yu, Lu, Barrineau, G., Wang, Q., Oakley, Jonathan]
通讯作者:
Oakley, Jonathan
5G-IoT Architecture for Next Generation Smart Systems
下一代智能系统的 5G-IoT 架构
DOI:
10.1109/5gwf52925.2021.00049
发表时间:
2021
期刊:
2021 IEEE 4th 5G World Forum (5GWF
影响因子:
--
作者:
[Kar, Snigdhaswin, Mishra, Prabodh, Wang, Kuang-Ching]
通讯作者:
Wang, Kuang-Ching
共 7 条
ART: STRIDE - Stimulating Translation of Research via Intentional Development and Ecosystem
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批准号:2331364
-
项目类别:Cooperative Agreement
-
资助金额:$600.0万
-
财政年份:2024
-
负责人:Kuang-Ching Wang
-
依托单位:
Collaborative Research: IRNC: Testbed: FAB: FABRIC Across Borders
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批准号:2029260
-
项目类别:Continuing Grant
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资助金额:$51.0万
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财政年份:2020
-
负责人:Kuang-Ching Wang
-
依托单位:
Large Scale Networking (LSN) Workshop on Operationalizing SDN
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批准号:1747856
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项目类别:Standard Grant
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资助金额:$14.84万
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财政年份:2017
-
负责人:Kuang-Ching Wang
-
依托单位:
CC-NIE Integration: Clemson-NextNet
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批准号:1245936
-
项目类别:Standard Grant
-
资助金额:$99.09万
-
财政年份:2012
-
负责人:Kuang-Ching Wang
-
依托单位:
海外基金