CNS Core: Medium: Collaborative Research: Strategies for Large-Scale IPv6

CNS 核心：中：协作研究：大规模 IPv6 策略

• 批准号: 1901517
• 负责人: Kimberly Claffy
• 金额: $ 80.5万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901517&HistoricalAwards=false
• 关键词: CNS; Core; Medium; Collaborative; Research

The networking research community has invested significant efforts into measuring adoption, performance, and security aspects of the Internet Protocol version 6 (IPv6)-addressable Internet, originally designed to replace the current Internet Protocol version 4 (IPv4) Internet to meet the relentless demand for Internet growth and usage. However, IPv6 measurement techniques have largely mirrored those of the current IPv4 Internet, which can yield disappointing coverage and efficiency. Many scientific, engineering, and operational questions require new measurements that explicitly consider unique properties of the IPv6 protocol, implementations, and operational deployment. The project goals target comprehensive, pervasive, accurate, and usable measurement capabilities, focused on IPv6 Internet cartography, and sharing measurement tools and data with a broad range of scientific researchers.This project will rigorously investigate, develop, and evaluate Strategies for Large-Scale IPv6 Active Mapping (SLAM) that meet IPv6-specific challenges: measurement strategies that can amplify our coverage by orders of magnitude; innovations in IPv6-specific algorithms to infer router-level topologies; and analysis and remediation of resiliency, security, and privacy risks to critical communications infrastructure. Operationalizing this capability for use in scientific research will require refining the technique to support distributed deployment, decouple probing from response collection, incorporate additional intelligence, and scale efficiency and performance. Application of the new technique will include an attempt to map the IPv6 infrastructure of mobile providers, a driver of IPv6 adoption. The resulting data will help resolve the IPv6 adoption paradox, with a focus on actual global IPv6 reachability using scientific measurements. This research will also support persistent operational challenges, including detection of IPv6 route hijacks, and geolocation of IPv6 infrastructure.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.

网络研究团体已经投入了大量的精力来衡量互联网协议版本6 （IPv6）的采用率、性能和安全方面——可寻址的互联网，最初的设计是为了取代当前的互联网协议版本4 （IPv4）互联网，以满足互联网不断增长和使用的需求。然而，IPv6的测量技术在很大程度上反映了当前IPv4互联网的测量技术，这可能会产生令人失望的覆盖和效率。许多科学、工程和操作问题需要明确考虑IPv6协议、实现和操作部署的独特属性的新度量。该项目的目标是实现全面、普遍、准确和可用的测量能力，重点是IPv6互联网制图，并与广泛的科学研究人员共享测量工具和数据。该项目将严格调查、开发和评估满足IPv6特定挑战的大规模IPv6主动映射（SLAM）策略：可以将我们的覆盖范围扩大几个数量级的测量策略；ipv6特定算法的创新，以推断路由器级拓扑；对关键通信基础设施的弹性、安全性和隐私风险进行分析和补救。将这种能力用于科学研究将需要改进技术，以支持分布式部署，将探测与响应收集分离，合并额外的智能，以及规模效率和性能。新技术的应用将包括尝试映射移动提供商的IPv6基础设施，这是IPv6采用的驱动因素。由此产生的数据将有助于解决IPv6采用悖论，重点关注使用科学测量的实际全球IPv6可达性。这项研究还将支持持续的操作挑战，包括检测IPv6路由劫持和IPv6基础设施的地理定位。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

DynamIPs: analyzing address assignment practices in IPv4 and IPv6

• DOI: 10.1145/3386367.3431314
• 发表时间: 2020-11
• 期刊: Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies
• 作者: Ramakrishna Padmanabhan;John P. Rula;P. Richter;Stephen D. Strowes;A. Dainotti

IRR Hygiene in the RPKI Era

RPKI 时代的 IRR 卫生

• DOI: 10.1007/978-3-030-98785-5_14
• 发表时间: 2022
• 期刊: PAM 2022
• 作者: Du, Ben;Akiwate, Gautam;Krenc, Thomas;Testart, Cecilia;Marder, Alexander;Huffaker, Bradley;Snoeren, Alex C.;Claffy, KC
• 通讯作者: Claffy, KC

Learning Regexes to Extract Network Names from Hostnames

学习正则表达式从主机名中提取网络名称

• DOI: 10.1145/3497777.3498545
• 发表时间: 2021
• 期刊: AINTEC '21: Asian Internet Engineering Conference
• 作者: Luckie, Matthew;Marder, Alexander;Huffaker, Bradley;claffy, k
• 通讯作者: claffy, k

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

Learning to extract geographic information from internet router hostnames

学习从互联网路由器主机名中提取地理信息

• DOI: 10.1145/3485983.3494869
• 发表时间: 2021
• 期刊: CoNEXT '21: Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies
• 作者: Luckie, Matthew;Huffaker, Bradley;Marder, Alexander;Bischof, Zachary;Fletcher, Marianne;Claffy, K
• 通讯作者: Claffy, K