Skip to main navigation Skip to search Skip to main content

NSF Safe-OSE: Strengthening Critical Privacy Infrastructure

Project: Research

Abstract & Details

Description

Award ID: 2534285

This Safety, Security, and Privacy of Open-Source Ecosystems (Safe-OSE) project focuses on improving a critical piece of open-source software utilized by U.S. government agencies for national security and foreign policy purposes, by U.S.-based companies and organizations to deliver their services, and by individual citizens of the U.S. to bolster their privacy online. The project will focus on transitioning the software to a stronger form of encryption, ensuring that all users of the software are protected against evolving threats posed by quantum computing. The project will also resolve vulnerabilities posed by a variety of other threats that can compromise the safety, security, or privacy of the softwares users, including threats from outside governments, potential malicious developers who might try to inject compromised code into the softwares dependencies, and insiders that have had their accounts compromised through phishing attacks, and more. This Safe-OSE project addresses the softwares (1) potential weakness to decryption caused by its use of pre-quantum encryption algorithms and (2) potential weaknesses to socio-technical threats like supply-chain attacks, long- and short-term infiltration, foreign government compromise, and compromised infrastructure. The project will (a) convert existing threat model findings into concrete security implementation measures; (b) implement supply chain resilience for automated dependency management; (c) provide a reproducible implementation of the software; and (d) integrate a standardized post-quantum cryptographic key exchange mechanism into the software. In mitigating these vulnerabilities, this project develops and publicly releases analysis, code, and tools that can be reviewed, evaluated, and reused by software developers. The project benefits other open-source software projects facing similar challenges, and will be of particular use to other projects with limited resources. The anticipated outcomes of this project are the use of the software to advance national security and foreign policy goals, to deliver company and industry services, and to bolster individuals' online privacy with increased safety, security, and privacy measures. 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.

NSF Program Director: Florence Rabanal
StatusActive
Effective start/end date10/01/2509/30/27

Funding

  • (Safe-OSE) NSF Safety, Security, and Privacy of Open-Source Ecosystems: $1,500,000.00

Active Fiscal Year

  • FY2027
  • FY2026

Start Fiscal Year

  • FY2026

TIP Programs

  • (Safe-OSE) NSF Safety, Security, and Privacy of Open-Source Ecosystems

Key Technology Areas

  • Data and Cybersecurity
  • (confidence score: 100%)
  • Quantum Information Science and Technology
  • (confidence score: 85%)
  • Advanced Computing and Semiconductors
  • (confidence score: 99%)

Technology Foci

  • Data Privacy
  • (confidence score: 100%)
  • Cyber-security
  • (confidence score: 100%)
  • Advanced Computer Software
  • (confidence score: 95%)
  • Quantum Information Science and Technology (Broad)
  • (confidence score: 100%)

Congressional District at Award

  • District n. 02 of New Hampshire

Current Congressional District

  • District n. 02 of New Hampshire

United States

  • New Hampshire

Core Based Statistical Area (CBSA)

  • Keene, NH

County

  • County: Cheshire, NH

EPSCoR Jurisdiction

  • Yes

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint. Learn more about Elsevier's Fingerprint Engine here: https://beta.elsevier.com/products/elsevier-fingerprint-engine