Project Grant 2211576
Award Date
10/1/22
Completion Date
9/30/26
Dollars Obligated
$350K
Federal Agency
Division of Computer and Network Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Boston, MA 02215, USA
Similar Awards
The National Science Foundation awarded a $500,000 project grant to the University of Illinois under the Computer and Information Science and Engineering program (CFDA 47.070). The four-year project, beginning October 2022, will research app-driven web browsing risks, vulnerabilities, and defenses. The University of Illinois will design techniques and systems to uncover inherent security flaws in the technologies powering non-browser apps that enable web browsing. Researchers will implement...
The National Science Foundation awarded $349,079 under its Computer and Information Science and Engineering program (CFDA 47.070) to Stony Brook University for a collaborative research project titled "COLLABORATIVE RESEARCH: SATC: CORE: MEDIUM: APP-DRIVEN WEB BROWSING: NOVEL RISKS, VULNERABILITIES, AND DEFENSES." The project, taking place from October 1, 2022 to September 30, 2026, will analyze security risks inherent in non-browser applications that enable web browsing. Researchers...
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...
The National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) awarded the University of Rochester $147,846 on June 15, 2024 to conduct research on security vulnerabilities in mobile computing platforms with shared memory. The project aims to uncover security threats that could enable malicious parties to circumvent protection mechanisms and extract sensitive information by monitoring data access patterns. The research will...
This National Science Foundation Project Grant of $349,276 supports research at Worcester Polytechnic Institute to develop innovative machine learning and natural language processing techniques for automated analysis of documentation related to networked systems security. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the project aims to leverage documentation sources like specifications, developer guides, and other materials to discover security...
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 National Science Foundation award of $150,000 provides funding for a two-year project grant to Arizona State University under the Computer and Information Science and Engineering program (CFDA 47.070). The project aims to develop a software analysis framework to detect and mitigate security and privacy risks in augmented reality mobile applications. Specifically, the university researchers will conduct static and dynamic program analysis focused on unique augmented reality elements like...
The National Science Foundation awarded a $249,703 Project Grant to the Trustees of Boston University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund research from October 1, 2022 to September 30, 2025 to develop methods for integrating legal and technical approaches to privacy in the design of sociotechnical software systems. Specifically, the project aims to establish technical interpretations of legal privacy concepts that...
This three-year, $600,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to improve computing security and privacy tools and processes for scientific end-users. The University of Maryland, College Park will investigate how scientists currently learn about and implement security-relevant behaviors for their equipment and data through surveys, interviews, documentation review, and other methods. Insights on existing tools,...
This two-year, $174,900 project grant from the National Science Foundation's Division of Computer and Network Systems will fund research at DePaul University towards developing more accurate vulnerability detection and less disruptive vulnerability mitigation techniques. The goal is to address challenges in reliably finding software vulnerabilities and patching them without compromising system availability. Researchers will design a scheme for encoding intrinsic vulnerability characteristics...