This National Science Foundation (NSF) grant award under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $204,962 to Duke University to develop machine learning models that can reliably detect malware without running it. The key innovations of this 3-year project include new techniques to improve the resistance of malware detectors to evasion attempts, as well as more efficient model architectures. The project aims to open-source these advances where...
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 National Science Foundation awarded a $249,591 Project Grant to the University System of New Hampshire's Office of Sponsored Research under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award beginning May 1, 2022 will support the development of resource-efficient, strongly consistent replication technologies for cloud computing environments. As the prime awardee, the University System of New Hampshire will deliver replication...
The University of Massachusetts Lowell's Office of Research Administration received a $600,000 three-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop mechanisms for detecting soft errors and silent data corruption in high-performance computing systems. The university will apply compressive sensing and machine learning techniques, including unsupervised anomaly detection, to...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will provide $174,103 to Northern Arizona University (NAU) to develop a framework for improving the robustness of machine learning models used to detect malicious software or "malware". The primary goals of the project are to: Understand the key features learned by different neural network architectures applied to diverse input domains for malware...
New York University received a $499,748 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure on July 15, 2021. The award is part of the Computer and Information Science and Engineering program (CFDA 47.070) and will fund research to develop techniques for tracing runtime anomalies in code execution. Specifically, the grant will support the development of tools and methods to track anomalies during program execution in order to identify vulnerabilities...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program, totaling $465,628, will support the development of a novel and customizable Android container-based virtualization architecture for dynamic malware analysis from December 2022 through September 2024. Led by researchers at Tulane University, this project introduces a transparent malware analysis environment capable of handling evasive Android malware through innovative application...
This $338,993 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at George Mason University to advance semantics-oriented binary code analysis. The University will develop novel deep learning-based approaches to analyze closed-source software at both the instruction and control flow graph levels, with the goal of achieving high accuracy and scalability in binary code understanding. Specifically, the...
The University of Massachusetts Amherst was awarded a three-year, $359,996 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) to conduct research titled "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: DYNAMIC DATA-DRIVEN SYSTEMS - THEORY AND APPLICATIONS." The NSF Computer and Information Science and Engineering program supports investigator-initiated research and education across computing, communications, and...
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...