The University of New Hampshire will receive $599,991 from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to advance research countering obfuscated malware from January 1, 2023 to December 31, 2025. The project aims to develop novel techniques to comprehensively analyze sophisticated virtual machine structures in obfuscated malware, reveal core techniques used to combine and mutate diverse virtual machines, and build...
This $242,024 Project Grant awarded by the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Carnegie Mellon University (CMU) focuses on improving the reliability and efficiency of machine learning (ML) models for detecting malicious software (malware). The project aims to develop new techniques to make ML-based malware detectors more resistant to being fooled by attackers, as well as more time- and space-efficient. Key innovations include novel...
The Regents of the University of California at Riverside received a $500,000 Project Grant award from the National Science Foundation Division of Computer and Network Systems. The grant supports research titled "SATC: CORE: SMALL: SOFIA: Finding and Profiling Malware Source-Code in Public Archives at Scale" from October 1, 2021 to September 30, 2024. Under the award, researchers will conduct an investigation into locating and analyzing malware source code within large public...
The National Science Foundation (NSF) awarded a $246,996 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Rochester Institute of Technology (RIT) for the "Danger-IoT" project. The goal is to develop advanced machine learning models to detect heterogeneous malware across Internet-of-Things (IoT) systems. Key objectives include creating a generic malware detection model that works across diverse IoT platforms, ensuring efficiency for...
This Project Grant award of $599,978.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Tulane University to develop innovative countermeasures against a specific type of memory disclosure attack known as JIT-ROP. The key objectives are to establish efficient memory permission control mechanisms using modern CPU features, and to integrate unreadable booby traps into JIT-compiled code to detect JIT-ROP...
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...
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 $194,999 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research to enforce expressive security policies using trusted execution environments. The project aims to advance the state-of-the-art for building secure systems by automatically placing security-critical application components within secure enclaves, reducing the programming challenges. The work includes developing a...
The National Science Foundation awarded a $900,000 project grant to the University of California, San Diego to develop foundations, techniques, and frameworks for building end-to-end verified secure sandboxed systems from May 2022 through April 2026. This award falls under the Computer and Information Science and Engineering program (CFDA 47.070), which supports investigator-initiated research and education in computing, communications, and information science and engineering. Specifically,...
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...