Project Grant 2452674
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $166,924 aims to enhance privacy leak detection in mobile applications by identifying and analyzing sources of domain-sensitive user data. The key products and services to be delivered include: Conducting a crowdsourcing study to categorize domain-sensitive data within mobile app user interfaces. Developing a novel approach using static and...
- This federal Project Grant award, valued at $206,542.00 and awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to address privacy accountability challenges within the mobile software ecosystem. The project, conducted by the University of Illinois, aims to establish a more privacy-conscious and accountable mobile ecosystem by: (1) understanding privacy accountability challenges in mobile third-party...
- This $150,000 Project Grant was awarded by the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA Program 47.070 "Computer and Information Science and Engineering". The award, effective July 1, 2023 through June 30, 2024, supports collaborative research on safeguarding the emerging "miniapp" paradigm within mobile "super apps". The research aims to investigate new security and privacy threats, design secure miniapp APIs, and...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $300,000 in funding to The University of Kentucky Research Foundation. The project aims to develop new recommender systems and privacy analysis techniques to help mobile app users find applications that meet both their functional needs and privacy expectations. Key objectives include creating novel static analysis methods to...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $299,994 to Louisiana State University (LSU) to develop a new genre of mobile app recommender systems. The project aims to address the critical issue of mobile applications (apps) exposing users to privacy risks by leaking sensitive data. The research will introduce novel static analysis techniques to better understand app...
- This $500,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will develop curriculum, hands-on labs, and a research platform to engage students in privacy compliance education. The project aims to cultivate a privacy-aware mindset and equip students with the skills to assess privacy compliance in user-centric applications. Key activities include creating new curriculum content, hands-on labs, and a...
- The University of Illinois was awarded a $200,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to conduct research measuring, validating and improving upon app-based privacy nutrition labels for smartphones. Over a three year period ending in May 2026, the University will apply mixed methods including usability testing, comprehension studies, and multivariate regressions to study how privacy...
- This federal Project Grant award for $600,000.00 was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award will fund research at the University of Washington (UW) to develop new privacy-preserving authentication techniques that limit the collection of personally identifiable information, a major challenge in digital applications. The project aims to advance the theory of blind signatures and anonymous...
- This $299,993 National Science Foundation project grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to develop privacy-preserving models leveraging mobility data for public health purposes. The award was made to Florida A&M University on January 1, 2022 for work concluding December 31, 2023. A sub-award of $TBD was also provided to the University of West Florida to support this research. Through this funding, the awardees will deliver...
- This National Science Foundation Project Grant of $175,000 supports research at Wichita State University from June 2022 through January 2023 under the Computer and Information Science and Engineering program. The university will develop techniques to integrate security monitoring and detection mechanisms into real-time multicoored systems design. Specifically, the researchers will devise algorithms, scheduling models, and frameworks cognizant of real-time requirements; build design tools and...
This $590,731 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The grant was awarded to Wichita State University to conduct research on detecting and reducing unauthorized personal data collection in mobile applications and their backend servers. The project aims to develop novel techniques to compute the minimum personal information required for app functionality, infer server-side data retention practices, and expose unauthorized data collection. This research is intended to protect user privacy and promote more secure and privacy-friendly software development practices. The 3-year project period runs from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $590.7k | 8/18/25 |