This $300,004 National Science Foundation project grant supports the development of privacy-preserving Internet of Things analytics and behavior prediction methodologies at North Carolina State University from October 2022 through September 2025. Funded under the NSF's Computer and Information Science and Engineering program (CFDA #47.070), the research aims to address challenges related to resource utilization, security, and privacy posed by growing IoT adoption in home networks. The project...
This $237,859 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research to enhance cybersecurity and privacy techniques for the integration of the Internet of Things (IoT) and Artificial Intelligence, known as the Artificial Internet of Things (AIoT). The key research tasks under this three-year project include: 1) Building a joint research testbed for integrating AI and IoT, 2) Investigating data...
This three-year, $244,997 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop scalable methods for analyzing large-scale network traffic data to quantify internet-of-things (IoT) device insecurities and characterize malicious IoT campaigns. The awardee, San Diego State University Research Foundation, will work with collaborators to design algorithms and formal methods using supervised deep learning to fingerprint exploited...
This $150,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is supporting research on improving anomaly detection techniques for the Internet of Things (IoT). The project aims to address technical gaps in the widespread adoption of novelty detection models by developing methods to generate labeled datasets and enable the transfer of models from controlled lab settings to real-world IoT deployments....
This National Science Foundation project grant of $323,806 supports research toward safe, private, and secure home automation. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the University of California, Los Angeles will collaborate with the State of California to develop formal models, automated analysis tools, and user evaluations for Internet of Things devices and platforms. Over a two-year period ending in October 2024, the researchers will gain a...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to Florida International University totaling $600,000 aims to advance the security and privacy of on-device machine learning (ML) models used in Internet of Things (IoT)-driven scientific cyberinfrastructure (CI). The project has two primary goals: Develop a novel runtime detection and prevention mechanism to protect ML models from extraction attacks that could lead to...
This $381,264 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at the University of Florida to develop hardware-efficient artificial intelligence techniques for federated learning across diverse Internet of Things devices. Over a three-year period ending September 2025, the research team will work to enable quantization and pruning of neural networks in a way that accounts for the varied computational...
This $362,141 federal Project Grant award, provided by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports a three-year collaborative research project between York College and Stevens Institute of Technology to explore cybersecurity and privacy enhancement techniques for Artificial Internet of Things (AIoT) systems. The key research tasks include: 1) building a joint AIoT research testbed, 2) investigating data poisoning...
This $151,946 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of "DANGER-IOT", an approach to detecting malware across heterogeneous Internet-of-Things (IoT) platforms. The key products and services being delivered through this 3-year award, which runs from October 2024 to September 2027, include: Creating a generic machine learning model that can detect malware...
This $163,132 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports an interdisciplinary research project investigating privacy negotiation behaviors among stakeholders in smart environments. The project team at Virginia Polytechnic Institute & State University (Virginia Tech) is designing, developing, and deploying an interactive system to collect real-world data on how people manage and negotiate their...