This $299,898 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at New York University to develop privacy-preserving machine learning models for Internet of Things device analytics and behavior prediction. The three-year award beginning October 1, 2022 aims to address privacy and network resource challenges posed by growing IoT adoption in homes. Specifically, the university will create an automated infrastructure...
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 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 $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 $275,062 project grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports research by the University of Central Florida (UCF) to develop methods for capturing and modeling user-driven home automation routines in smart homes. The goal is to provide researchers and practitioners with tools to better analyze security, safety, and privacy properties of cyber-physical systems in smart...
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 $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...
This $336,352 National Science Foundation project grant supports research towards trustworthy and accountable internet of things (IoT) data marketplaces from July 2022 through June 2024. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the research investigates foundations and implementation of a decentralized marketplace to enable secure IoT data sharing and trading with flexible and enforced access controls as well as post-trading accountability. Key...
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 two-year, $271,557 project grant from the National Science Foundation's Office of Integrative Activities and Integrative Activities program (CFDA 47.083) will support the development of a privacy-preserved data fusion framework for personalized recommendation in an edge-assisted Internet of Things smart health network. The primary products and services include designing and building an application to collect sensor data and merge external databases; developing frameworks to address...