Scientific computing and computational analysis are becoming integral aspects of virtually any field of science. Efforts of many research laboratories to produce scientific code frequently becomes unsustainable after the lifetime of funding or staff rotations. The GenApp project hopes to reduce the costs of developing and maintaining scientific code by enabling the rapid dissemination of scientific applications to researchers with minimal software expertise. As GenApp's use becomes more widespread, the benefit to the community's scientific coding increases but so does the impact of any potential security flaw in the tool. The focus of this engagement was to perform a security review of the GenApp codebase and the various web apps genera...
The research and education (R&E) community faces particular challenges regarding cybersecurity: dive...
Trusted CI was renewed as the NSF Cybersecurity Center of Excellence on October 1st, 2019. This repo...
This article describes experiences and lessons learned from the Trusted CI project, funded by the US...
This document is a product of the Center for Trustworthy Scientific Cyberinfrastructure (CTSC). CTSC...
How can cybersecurity play an enabling role in scientific research? This talk describes the first fi...
Presentation at the 13th FIM4R Workshop: Federated Identity Management for Research Collaborations.O...
This webinar presents the results of Trusted CI's 2021 examination of the state of software assuranc...
Trusted CI final report of the 2018 engagement with the Environmental Data Initiative.NSF #1547272Op...
In 2021, Trusted CI is conducting our focused "annual challenge" on the security (sometimes called "...
The scientific cyberinfrastructure community heavily relies on public internet-based systems (e.g., ...
The final report for the Trusted CI engagement with American Museum of Natural History (AMNH).NSF #1...
The Trusted CI Workshop on Trustworthy Scientific Cyberinfrastructure provides an opportunity for sh...
Trusted CI was renewed as the NSF Cybersecurity Center of Excellence on October 1st, 2020. This repo...
Presentation summarizing our PEARC19 paper. Paper abstract: This article describes experiences an...
GenApp, a Generalized Application Framework [https://genapp.rocks], is a framework for rapidly buil...
The research and education (R&E) community faces particular challenges regarding cybersecurity: dive...
Trusted CI was renewed as the NSF Cybersecurity Center of Excellence on October 1st, 2019. This repo...
This article describes experiences and lessons learned from the Trusted CI project, funded by the US...
This document is a product of the Center for Trustworthy Scientific Cyberinfrastructure (CTSC). CTSC...
How can cybersecurity play an enabling role in scientific research? This talk describes the first fi...
Presentation at the 13th FIM4R Workshop: Federated Identity Management for Research Collaborations.O...
This webinar presents the results of Trusted CI's 2021 examination of the state of software assuranc...
Trusted CI final report of the 2018 engagement with the Environmental Data Initiative.NSF #1547272Op...
In 2021, Trusted CI is conducting our focused "annual challenge" on the security (sometimes called "...
The scientific cyberinfrastructure community heavily relies on public internet-based systems (e.g., ...
The final report for the Trusted CI engagement with American Museum of Natural History (AMNH).NSF #1...
The Trusted CI Workshop on Trustworthy Scientific Cyberinfrastructure provides an opportunity for sh...
Trusted CI was renewed as the NSF Cybersecurity Center of Excellence on October 1st, 2020. This repo...
Presentation summarizing our PEARC19 paper. Paper abstract: This article describes experiences an...
GenApp, a Generalized Application Framework [https://genapp.rocks], is a framework for rapidly buil...
The research and education (R&E) community faces particular challenges regarding cybersecurity: dive...
Trusted CI was renewed as the NSF Cybersecurity Center of Excellence on October 1st, 2019. This repo...
This article describes experiences and lessons learned from the Trusted CI project, funded by the US...