M-Lab provides the largest collection of open Internet performance data on the planet. As a consortium of research, industry, and public-interest partners, M-Lab is dedicated to providing an ecosystem for the open, verifiable measurement of global network performance. Real science requires verifiable processes, and M-Lab welcomes scientific collaboration and scrutiny. This is why all of the data collected by M-Lab’s global measurement platform are made openly available, and all of the measurement tools hosted by M-Lab are open source. Anyone with time and skill can review and improve the underlying methodologies and assumptions on which M-Lab’s platform, tools, and data rely. Transparency and review are key to good science, and good science is key to good measurement.
We are an open community of developers building resources for a better web, regardless of brand, browser or platform. Anyone can contribute and each person who does makes us stronger. Together we can continue to drive innovation on the Web to serve the greater good. It starts here, with you.
What is MAG-Net?
The Media Action Grassroots Network (MAG-Net) is a local-to-local advocacy network of grassroots community organizations working together for media change to end poverty, eliminate racism, and ensure human rights. With over 100 member groups nationwide, regional chapters, an online action network, a media justice learning community, and collaborative campaigns- MAG-Net is advancing an exciting new vision for media justice.
A system for stealthy authentication across closed ports, communication in which information arrives encoded in the form of connection attempts to closed ports.
component-based, modular and open-architecture simulation environment with strong GUI support and an embeddable simulation kernel. Its primary application area is the simulation of communication networks and because of its generic and flexible architectur
S. Shi, and C. Qian. Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, page 62–75. New York, NY, USA, Association for Computing Machinery, (2020)
M. Bilal. IEEE Systems Journal, (2018)cite arxiv:1808.00348Comment: 10 pages, 8 figures, accepted for publication in a future issue of the IEEE systems Journal.
M. Bilal, and S. Kang. (2017)cite arxiv:1702.04078Comment: This article is published in IEEE Access. This print includes minor enhancement and corrections to the published journal version of this article.