REU Site: SURF-I: Safe, Usable, Resilient and Fair Internet

REU 网站：SURF-I：安全、可用、有弹性和公平的互联网

• 批准号: 2051101
• 负责人: Jelena Mirkovic
• 金额: $ 40.5万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2051101&HistoricalAwards=false
• 关键词: REU; Site; SURF; Safe; Usable

This project hosts an REU Site at University of Southern California Information Sciences Institute, with the theme of ``SURF-I: Safe, Usable, Resilient and Fair Internet''. REU participants will work in a diverse, stimulating academic environment that gave birth to the Internet and the domain-name system, with researchers that are leaders in AI, social data mining, scientific workflows and networking. The REU site focuses on research to support emerging trends in cybersecurity, usability, safety and fairness as they pertain to the Internet communication. As the world has all learned from the current Covid-19 pandemic experiences, Internet communication permeates the daily lives. Even before the pandemic, people relied on the Internet for business and entertainment. During the pandemic, this reliance grew to meet education, telemedicine, exercise, governance and many other human needs. It is critical to keep Internet safe and secure for all participants, offering access to reliable and unbiased information. The research at the REU site will also investigate complex and timely issues of fairness in society, leveraging information shared on the Internet.This REU site intentionally offers a wide spectrum of research themes under the umbrella of ``Safe, Usable, Resilient and Fair Internet,'' to attract diverse student population. The research topics are grouped into three areas: communication infrastructure and cybersecurity, scientific experimentation and knowledge capture, and social data science. The communication and cybersecurity theme tackles several open problems: resilience in the face of natural disasters or targeted cyberattacks, secure communication with cloud servers, detecting emotionally manipulative language in online content and password reuse. These problems have naive solutions. As our reliance on the Internet grows, we need more systematic solutions to increase resilience and security of our communication and protect users from manipulation. The scientific experimentation and knowledge capture theme addresses important problems on data integration, knowledge representation and reusability, entity linking and knowledge discovery that span over multiple domains and are critical to improve scientific products and broaden participation in science. The social data science theme deals with important problems that require AI, data mining, data management and statistics to understand human behavioral patterns and preferences. Its novel focus on cognitive factors and their impact on communication has already uncovered phenomena that can change the way social networks present information to users, and the way people leverage crowdsourcing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目在南加州大学信息科学研究所主办了一个REU网站，其主题是“SURF-I：安全、可用、有弹性和公平的互联网”。REU的参与者将在一个多样化、激动人心的学术环境中工作，这个环境催生了互联网和域名系统，研究人员是人工智能、社交数据挖掘、科学工作流和网络领域的领导者。REU网站的重点是支持网络安全、可用性、安全性和公平性方面的新趋势，因为它们与互联网通信有关。正如全世界都从当前新冠肺炎大流行的经验中吸取的教训一样，互联网传播渗透到日常生活中。甚至在大流行之前，人们就依赖互联网进行商业和娱乐。在大流行期间，这种依赖日益增长，以满足教育、远程医疗、运动、治理和许多其他人类需求。为所有参与者提供获取可靠和不偏不倚的信息的途径，确保互联网的安全和保障至关重要。REU网站的研究还将利用在互联网上共享的信息，调查复杂而及时的社会公平问题。该REU网站有意在“安全、可用、有弹性和公平的互联网”的保护伞下提供广泛的研究主题，以吸引不同的学生群体。研究主题分为三个领域：通信基础设施和网络安全、科学实验和知识获取以及社会数据科学。通信和网络安全主题解决了几个悬而未决的问题：面对自然灾害或有针对性的网络攻击时的应变能力、与云服务器的安全通信、检测在线内容中具有情感操纵性的语言以及密码重复使用。这些问题都有天真的解决方案。随着我们对互联网的依赖日益增长，我们需要更系统的解决方案来提高我们通信的弹性和安全性，并保护用户免受操纵。科学实验和知识获取主题涉及数据整合、知识表示和可重用性、实体链接和知识发现等重要问题，这些问题跨越多个领域，对改进科学产品和扩大对科学的参与至关重要。社会数据科学主题涉及需要人工智能、数据挖掘、数据管理和统计来理解人类行为模式和偏好的重要问题。它对认知因素及其对交流的影响的新颖关注已经发现了一些现象，这些现象可以改变社交网络向用户展示信息的方式，以及人们利用众包的方式。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Harm-DoS: Hash Algorithm Replacement for Mitigating Denial-of-Service Vulnerabilities in Binary Executables

Harm-DoS：哈希算法替换，以减轻二进制可执行文件中的拒绝服务漏洞

• 发表时间: 2022
• 期刊: Intrusions and Defenses (RAID 2022
• 作者: Weidemann, Nicolaas;Wang, Haoda;Kann, Tyler;Zahabizadeh, Spencer;Wu, Wei-Cheng;Tandon, Rajat;Mirkovic, Jelena;Hauser, Christophe
• 通讯作者: Hauser, Christophe

Woolery: Toward Semantic Annotation of Structured Documents with FrameNet

Woolery：使用 FrameNet 实现结构化文档的语义注释

• DOI: 10.1109/mass52906.2021.00096
• 发表时间: 2021
• 期刊: The Seventh National Workshop for REU Research in Networking and Systems (REUNS 2021
• 作者: Eggleston, Chloe;Abramson, Jeremy
• 通讯作者: Abramson, Jeremy

Enter At Your Own Risk: The Impacts of Joining a Hateful Subreddit for REU Research in Networking and Systems

自行承担风险：加入可恶的 Reddit 子版块对 REU 网络和系统研究的影响

• 发表时间: 2021
• 期刊: The Seventh National Workshop for REU Research in Networking and Systems (REUNS 2021
• 作者: Ko, Kaitlyn Hannah

Analyzing Race and Citizenship Bias in Wikidata

分析维基数据中的种族和公民偏见

• DOI: 10.1109/mass52906.2021.00099
• 发表时间: 2021
• 期刊: The Seventh National Workshop for REU Research in Networking and Systems (REUNS 2021
• 作者: Shaik, Zaina;Ilievski, Filip and
• 通讯作者: Ilievski, Filip and

Visualizing Internet Measurements of Covid-19 Work-from-Home

Covid-19 在家工作的互联网测量可视化

• DOI: 10.1109/bigdata52589.2021.9671311
• 发表时间: 2021
• 期刊: 2021 IEEE International Conference on Big Data (Big Data
• 作者: Stutz, Erica;Pradkin, Yuri;Song, Xiao;Heidemann, John
• 通讯作者: Heidemann, John