NeTS: Small: Continuous Monitoring and Localization of Network Neutrality Violations

NeTS：小型：持续监控和定位违反网络中立性的行为

• 批准号: 2332541
• 负责人: David Choffnes
• 金额: $ 10万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332541&HistoricalAwards=false
• 关键词: NeTS; Small; Continuous; Monitoring; Localization

Networks that carry application data can apply differential treatment, e.g., by giving different performance to different applications and providers. Such behavior is colloquially referred to as net neutrality violations, and formally as traffic differentiation. For example, in U.S., video streaming is often artificially limited to low data-transfer speeds, meaning that only low-quality video can be supported. Further, this is sometimes done only to certain video-streaming providers, creating an unlevel playing field. This project supports the Wehe software ecosystem, which provides mobile apps and other software that reveals when network providers differentiate service and publishes results for stakeholders. Wehe requires continual maintenance so that Wehe tests continue to correctly identify when they experience differentiation. To address this, this project will bring Wehe software into compliance with current operating systems and apps that experience differentiation and produce strategies to make Wehe more resilient to future changes. Second, Wehe does not isolate which network is responsible for differentiation. To improve Wehe’s ability to identify the correct network responsible for net neutrality violations, this project will develop new statistical methods based on network performance tomography and implement new tests in Wehe that leverage these methods to reliably identify the network responsible for differentiation.The project work will benefit Internet subscribers, policy makers, and service providers by revealing violations of net neutrality, and ensuring that policy decisions are informed by empirical evidence. Internet subscribers can learn whether their providers violate net neutrality via the Wehe mobile app, the general public can see aggregate findings on net neutrality via a public Web site for reporting Wehe results, and findings from the project will be shared with stakeholders such as policy makers. Subscribers will benefit from transparency and understanding alternative options, and content providers can adjust their applications to improve efficiency. The project will also identify unintended negative side-effects of middleboxes, and produce recommendations to improve network efficiency.Details about the project, its findings, and other artifacts are located at: https://wehe.meddle.mobi. The project has produced public datasets, software, results, visualizations, and other insights for six years. The goal is to continue publishing and updating such artifacts in perpetuity, or for as long as the project is relevant.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.

承载应用程序数据的网络可以采用差别化处理，例如，通过为不同的应用程序和提供商提供不同的性能，这种行为通俗地称为违反网络中立性，正式称为流量差异化。例如，在美国，视频流通常是人为的。受限于低数据传输速度，这意味着只能支持低质量的视频。此外，有时只能对某些视频流提供商进行此操作，从而形成了一个不公平的竞争环境。该项目支持提供移动服务的 Wehe 软件生态系统。揭示网络提供商何时区分服务并为利益相关者发布结果的应用程序和其他软件需要持续维护，以便 Wehe 测试能够在遇到差异时继续正确识别。为了解决这个问题，该项目将使 Wehe 软件符合当前操作系统。其次，Wehe 不会隔离哪个网络负责差异化，为了提高 Wehe 识别网络中立性违规行为的正确网络的能力，该项目将开发新的网络。基于网络性能的统计方法断层扫描并在 Wehe 中实施新的测试，利用这些方法来可靠地识别负责差异化的网络。该项目工作将通过揭露违反网络中立性的行为并确保政策决策以经验为依据，使互联网用户、政策制定者和服务提供商受益互联网用户可以通过Wehe移动应用程序了解其提供商是否违反网络中立性，公众可以通过公共网站报告网络中立性的结果以报告Wehe结果，并且该项目的调查结果将与利益相关者共享，例如。政策制定者将从中受益。透明度和理解替代选项，内容提供商可以调整其应用程序以提高效率。该项目还将确定中间盒产生的意外负面影响，并提出提高网络效率的建议。有关该项目、其发现和其他工件的详细信息如下。位于：https://wehe.meddle.mobi。六年来，该项目已经生成了公共数据集、软件、结果、可视化和其他见解，目标是永久或长期地继续发布和更新此类工件。因为该项目是该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。