Convergence Accelerator Phase I (RAISE): Knowledge of Internet Structure: Measurement, Epistemology, and Technology (KISMET)

融合加速器第一阶段 (RAISE)：互联网结构知识：测量、认识论和技术 (KISMET)

• 批准号: 1937165
• 负责人: Kimberly Claffy
• 金额: $ 100万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937165&HistoricalAwards=false
• 关键词: Convergence; Accelerator; Phase; RAISE; Knowledge

The NSF Convergence Accelerator supports team-based, multidisciplinary efforts that address challenges of national importance and show potential for deliverables in the near future.The broader impact and potential societal benefit of this Convergence Accelerator Phase I project is to improve the security of the Internet infrastructure by creating a kind of map of the Internet that includes information on structural dependencies, ownership, and economic interrelationships. The first project goal is to build a system of public data on Internet structure, as manifested in the naming, addressing, and routing systems, which will address an increasing gap in science, security, and public communications policy. The project's approach involves cutting edge Internet measurement and analytic tools, crucial operational network engineering expertise required for sound interpretations of the measurements, new methodologies to synthesize different sources of data, and technology to responsibly manage data integrity, availability, and privacy. The second project goal is to establish and sustain an open knowledge network that will use this system of internet structure data to analyze and report on the extent of persistent Internet insecurities and progress in mitigating them, in a form that is understandable by non-technical users, including policy-makers and a wide range of public and private stakeholders. The knowledge network effort will include producing tutorial material that provide insights into the current state of the Internet, the underlying causes of persistent insecurity, and possible paths to a more secure future. The initial list of collaborators spans a range of disciplines that rely on Internet measurement -- from network science to security to economics to law and public policy, and the team will develop more partners during this phase I effort. The intellectual merit of this project lies in the development and use of new tools and methods for the collection, curation, and analysis of massive datasets that capture the current structure of the Internet. These datasets, which include data about interconnection topology, ownership, and economic relationships between networks, and the structure and dependencies of the Internet's Domain Name System, are each complex and unwieldy datasets. The primary intellectual contribution of this project is to encode and process these data such that non-technical people can make useful queries about the datasets, and more technical users can correlate and analyze the information across the datasets. This project will require advances in data tagging, coding, and implementation of cross-dataset queries with sufficient performance to enable interactive investigation. In the past, many such datasets have been maintained on purpose-built platforms, but a significant advance of this project will be an exploration of the feasibility of moving various data items into cloud storage, which will reduce development costs and reduce the complexity of sustaining the effort over time. Therefore an additional outcome of this project will be guidelines and operating practices for the use of cloud services for this type of research.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.

NSF融合加速器支持以团队为基础的多学科努力，解决国家重要性的挑战，并在不久的将来显示出可交付成果的潜力。“融合加速器”第一阶段项目的更广泛影响和潜在社会效益是，通过创建一种包含结构依赖、所有权和经济相互关系信息的互联网地图，提高互联网基础设施的安全性。第一个项目目标是建立一个互联网结构的公共数据系统，体现在命名、寻址和路由系统上，这将解决科学、安全和公共通信政策方面日益增长的差距。该项目的方法包括尖端的互联网测量和分析工具、对测量结果进行合理解释所需的关键运营网络工程专业知识、综合不同数据源的新方法，以及负责管理数据完整性、可用性和隐私的技术。第二个项目目标是建立和维持一个开放的知识网络，该网络将使用这个互联网结构数据系统，以非技术用户（包括决策者和广泛的公共和私人利益相关者）可以理解的形式，分析和报告持续存在的互联网不安全程度和缓解这些不安全的进展。知识网络的工作将包括制作教程材料，提供对互联网当前状态的见解，持续不安全的潜在原因，以及通往更安全未来的可能途径。最初的合作者名单涵盖了一系列依赖互联网测量的学科——从网络科学到安全，从经济学到法律和公共政策，该团队将在第一阶段的努力中发展更多的合作伙伴。这个项目的智力价值在于开发和使用新的工具和方法来收集、管理和分析捕获当前互联网结构的海量数据集。这些数据集包括互连拓扑、所有权和网络之间的经济关系，以及互联网域名系统的结构和依赖关系，它们都是复杂而笨拙的数据集。这个项目的主要智力贡献是对这些数据进行编码和处理，这样非技术人员就可以对数据集进行有用的查询，而更多的技术用户可以关联和分析跨数据集的信息。该项目将需要在数据标记、编码和跨数据集查询的实现方面取得进展，并具有足够的性能，以实现交互式调查。在过去，许多这样的数据集都是在专门构建的平台上维护的，但这个项目的一个重大进步将是探索将各种数据项移动到云存储的可行性，这将降低开发成本，并减少随着时间的推移维持工作的复杂性。因此，该项目的另一个成果将是在这类研究中使用云服务的指导方针和操作实践。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值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

Unresolved Issues: Prevalence, Persistence, and Perils of Lame Delegations

未解决的问题：蹩脚代表团的普遍性、持续性和危险

• DOI: 10.1145/3419394.3423623
• 发表时间: 2020
• 期刊: IMC '20: Proceedings of the ACM Internet Measurement Conference
• 作者: Akiwate, Gautam;Jonker, Mattijs;Sommese, Raffaele;Foster, Ian;Voelker, Geoffrey M.;Savage, Stefan;Claffy, KC
• 通讯作者: Claffy, KC

MAnycast2: Using Anycast to Measure Anycast

MAnycast2：使用 Anycast 来测量 Anycast

• DOI: 10.1145/3419394.3423646
• 发表时间: 2020
• 期刊: IMC '20: Proceedings of the ACM Internet Measurement Conference
• 作者: Sommese, Raffaele;Bertholdo, Leandro;Akiwate, Gautam;Jonker, Mattijs;van Rijswijk-Deij, Roland;Dainotti, Alberto;Claffy, KC;Sperotto, Anna
• 通讯作者: Sperotto, Anna