EAGER: Towards a Traffic Analysis Resistant Internet Architecture

EAGER：迈向抗流量分析的互联网架构

• 批准号: 1643020
• 负责人: Kuang-Ching Wang
• 金额: $ 25万
• 依托单位: Clemson University
• 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
• 起止时间: 2016-11-01 至 2021-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1643020&HistoricalAwards=false
• 关键词: EAGER; Towards; Traffic; Analysis; Resistant

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.

许多民族国家通过分析互联网用户的流量来限制公民通过互联网获取信息，然后阻止被认为有争议或与民族国家观点对立的流量。该项目探索了一种替代的端到端网络架构，可以消除公民对流量分析的脆弱性。研究人员提出了替代的互联网架构和协议设计，评估了这些设计对互联网利益相关者的影响，并提供了替代设计的正确性，性能和可扩展性的评估方法。该项目广泛影响多个领域和研究社区，从网络安全和反审查社区到设计和运行互联网的人。确保世界各地的个人都可以轻松地通过Internet访问信息是该项目背后的核心驱动原则之一。流量分析使用数据包元数据和边信道来推断网络上运行的通信会话的信息，无论加密与否。代理服务通过在数据包源和目的地之间插入中间节点使流量分析变得困难，但它们的成功是有限的。它们可以被检测和阻止。其核心概念是将通信会话绑定到动态的、短暂的、看似随机的互联网协议（IP）地址。这从根本上影响了互联网的多个方面：域名系统（DNS），IP寻址/路由和数据包转发。这个EAGER项目将探索解决方案空间（范围，能力，影响），确定实现战略，并开发一个原型来评估该方法的关键属性。该项目的智力价值包括基于临时、伪随机IP地址、IPv6寻址和域间路由以及SDX架构/功能的主机和网络方法。

项目成果

Protocol Proxy: An FTE-based Covert Channel

• DOI: 10.1016/j.cose.2020.101777
• 发表时间: 2020-02
• 期刊: Comput. Secur.
• 作者: Jon Oakley;Lu Yu;Xingsi Zhong;G. Venayagamoorthy;R. Brooks

Traffic Analysis Resistant Network (TARN) Anonymity Analysis

• DOI: 10.1109/icnp.2019.8888134
• 发表时间: 2019-10
• 期刊: 2019 IEEE 27th International Conference on Network Protocols (ICNP)
• 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
• 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
• 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
• 作者: Kar, Snigdhaswin;Mishra, Prabodh;Wang, Kuang-Ching
• 通讯作者: Wang, Kuang-Ching