"Yale to Partner in NSF Program Advancing Cybersecurity and Privacy"

Yale University is one of the key partners in the Secure and Trustworthy Cyberspace program, a $25.4 million multi-institutional effort funded by the National Science Foundation (NSF) to advance research and center-scale projects in cybersecurity and privacy. The Secure and Trustworthy Cyberspace program is one of NSF's largest research programs that recognizes the importance of cybersecurity and the privacy of the nation's economy and citizens. The NSF grantees will work to improve open-source supply chain security, increase computing privacy for under-served populations, and ensure trustworthy cloud computing. These efforts will support the NSF Directorate for Computer and Information Science and Engineering's Broadening Participation in Computing initiative, which aims to bring more people from underrepresented groups into the computing research community. The projects include "Center for Distributed Confidential Computing," "Enabling a Secure and Trustworthy Software Supply Chain," and "Securing the Future of Computing for Marginalized and Vulnerable Populations." Researchers on the "Enabling a Secure and Trustworthy Software Supply Chain" project will collaborate with industry and government agencies to develop scientific principles, tools, processes, and metrics for supply chain security in order to reduce risks associated with software used by consumers, government, industry, and academia. The project will benefit the software industry by educating and training a diverse workforce of technical leaders and practitioners in secure software supply chain methods. Carnegie Mellon University, The George Washington University, and the University of Maryland College Park are also on the team. The "Center for Distributed Confidential Computing" project will use the "trusted execution environment" hardware capability in modern chips to run secure computations that cannot be compromised by malicious software across distributed computing systems such as cloud computing environments. Researchers will develop solutions for data in use, such as training Machine Learning (ML) models on private data, across cloud and edge systems. This article continues to discuss the projects included in the partnership with NSF's Secure and Trustworthy Cyberspace program. 

Yale reports "Yale to Partner in NSF Program Advancing Cybersecurity and Privacy"