SaTC: CORE: Medium: Collaborative: A Linguistically-Informed Approach for Measuring and Circumventing Internet Censorship

SaTC：核心：媒介：协作：衡量和规避互联网审查的语言知情方法

• 批准号: 1704105
• 负责人: Prateek Mittal
• 金额: $ 54万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-15 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1704105&HistoricalAwards=false
• 关键词: SaTC; CORE; Medium; Collaborative; Linguistically

Internet censorship consists of restrictions on what information can be publicized or viewed on the Internet. According to Freedom House's annual Freedom on the Net report, more than half the world's Internet users now live in a place where the Internet is censored or restricted. However, members of the Internet Freedom community lack comprehensive real-time awareness of where and how censorship is being imposed. The challenges to achieving such a solution include but are not limited to coverage, scalability, adoption, and safety. The project explores a linguistically-informed approach for measuring and circumventing Internet censorship.The research takes a new perspective on the problem by investigating a hybrid method for censorship detection and evasion from the lens of linguistic analysis. The team develops new models to measure Internet censorship, investigates mechanisms to circumvent censorship using linguistic techniques, conducts communication and social network measurements of censored content. Active Sensing and natural language processing techniques, in conjunction with machine learning and optimization, invigorates new research directions in Internet Freedom and produces new high quality data and tools available for public use. This new allogamy between computer science, information security, network analysis and linguistics provides the foundation for evolution of anti-censorship technologies. The research contributes to a number of fields including Internet censorship, privacy and online information retrieval, as well as computational social science by modeling and analyzing the phenomenon of censorship using the signal available in language. The broader contribution includes wide dissemination of the research results via peer-reviewed publications, special topic courses and workshops. Additional benefits include providing graduate and undergraduate researchers with significant experience of highly practical work on a difficult interdisciplinary problem. Significant gains are obtained in recruitment of minority students through research training in computer science and linguistics.

互联网审查包括对可以在互联网上发布或查看的信息进行限制。根据自由之家的年度自由网络报告，世界上超过一半的互联网用户现在生活在互联网受到审查或限制的地方。然而，互联网自由社区的成员缺乏全面的实时意识，不知道审查在哪里以及如何实施。实现此类解决方案的挑战包括但不限于覆盖范围、可扩展性、采用率和安全性。该项目探索了一种语言知情的方法来衡量和规避互联网审查。该研究从语言分析的角度对审查检测和规避的混合方法进行了研究，从而为这一问题提供了一个新的视角。该团队开发了衡量互联网审查的新模型，调查了使用语言技术规避审查的机制，对被审查的内容进行了沟通和社交网络衡量。主动感知和自然语言处理技术与机器学习和优化相结合，为互联网自由领域的新研究方向注入了活力，并产生了新的高质量数据和工具供公众使用。计算机科学、信息安全、网络分析和语言学之间的这种新的融合为反审查技术的演变提供了基础。这项研究通过使用语言中的可用信号对审查现象进行建模和分析，为包括互联网审查、隐私和在线信息检索在内的许多领域以及计算社会科学做出了贡献。更广泛的贡献包括通过同行评议的出版物、专题课程和讲习班广泛传播研究成果。其他好处包括为研究生和本科生研究人员提供在一个困难的跨学科问题上进行高度实际工作的丰富经验。通过计算机科学和语言学方面的研究培训，在招收少数民族学生方面取得了重大进展。

项目成果

Robust Website Fingerprinting Through the Cache Occupancy Channel

• 发表时间: 2018-11
• 期刊: ArXiv
• 作者: A. Shusterman;Lachlan Kang;Yarden Haskal;Yosef Meltser;Prateek Mittal;Yossef Oren;Y. Yarom

Website Fingerprinting Through the Cache Occupancy Channel and its Real World Practicality

• DOI: 10.1109/tdsc.2020.2988369
• 发表时间: 2020-04
• 期刊: IEEE Transactions on Dependable and Secure Computing
• 影响因子: 7.3
• 作者: A. Shusterman;Zohar Avraham;Eliezer Croitoru;Yarden Haskal;Lachlan Kang;Dvir Levi;Yosef Meltser;Prateek Mittal;Yossi Oren;Y. Yarom

Experiences Deploying Multi-Vantage-Point Domain Validation at Let’s Encrypt

在 Let’s Encrypt 部署多优势点域验证的经验

• 发表时间: 2021
• 期刊: Proceedings of the 30th USENIX Security Symposium
• 作者: Lee, Henry;Wang, Liang;McCarney, Daniel;Shoemaker, Roland;Rexford, Jennifer;Mittal, Prateek
• 通讯作者: Mittal, Prateek

CLAPS: Client-Location-Aware Path Selection in Tor

CLAPS：Tor 中的客户端位置感知路径选择

• DOI: 10.1145/3372297.3417279
• 发表时间: 2020
• 期刊: ACM Conference on Computer and Communication Security (CCS
• 作者: Rochet, Florentin;Wails, Ryan;Johnson, Aaron;Mittal, Prateek;Pereira, Olivier
• 通讯作者: Pereira, Olivier

Guard Placement Attacks on Path Selection Algorithms for Tor

针对 Tor 路径选择算法的防护部署攻击

• DOI: 10.2478/popets-2019-0069
• 发表时间: 2019
• 期刊: Proceedings on Privacy Enhancing Technologies
• 作者: Wan, Gerry;Johnson, Aaron;Wails, Ryan;Wagh, Sameer;Mittal, Prateek
• 通讯作者: Mittal, Prateek