Project Grant 2523516
- This Project Grant award of $200,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program is funding research to develop innovative multimodal sensing-based security (MSS) mechanisms for mission-critical Internet-of-Things (IoT) systems. The research project, titled "Collaborative Research: CISE Core Small: CSR: Multimodal Sensing-Based Security Mechanisms for IoT Systems", is being conducted by Arizona State University (ASU). The...
- This Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop innovative multimodal sensing-based security mechanisms to enhance the protection of mission-critical Internet-of-Things (IoT) systems. The $200,000 project, awarded to the University of Texas at Arlington (UTA), will span from October 1, 2025 to September 30, 2027. The research focuses on three key thrusts: 1) MSS-KEY, a...
- This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports research to improve wireless network security designs. The project aims to (1) create stronger, practical adversary models to understand the limitations of security for Internet of Things (IoT) systems that leverage wireless channel properties, and (2) design new defense strategies to advance the state-of-the-art in wireless network...
- This federal Project Grant award for $384,182.00, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is focused on establishing the foundational scientific theory, security principles, and practices that define the field of Internet of Things (IoT) cloud security. The key objectives are to: Formalize the threats concerning the emerging paradigms of IoT interoperability to conduct novel attacks, and formally verify...
- 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 Project Grant award of $200,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a novel multi-camera surveillance system for smart city applications. The project, titled "COLLABORATIVE RESEARCH: CSR: SMALL: ACCURATE AND PRIVATE MULTI-CAMERA SURVEILLANCE SYSTEM ON TIME-SENSITIVE NETWORKS," aims to create a unified framework for advancing smart city infrastructure by leveraging edge...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Oklahoma to conduct research on improving wireless network security designs. The 3-year project aims to: (i) create stronger adversary models to understand the limitations of security in IoT systems leveraging wireless channel properties, and (ii) design new defense strategies to advance the state-of-the-art in wireless network...
- The National Science Foundation awarded a $200,000 Project Grant to support research titled "CREST-PRF: ACCESS CONTROL FRAMEWORK FOR IOT ECOSYSTEM WITH SMART HOME IOT AND INDUSTRIAL IOT CASE STUDIES" under the STEM Education program (CFDA #47.076). The two-year award beginning December 15, 2021 will develop an access control framework for Internet of Things ecosystems, with case studies focused on smart home and industrial IoT applications. The STEM Education program aims to ensure the...
- This $225,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program supports research to enhance physical layer security and energy efficiency in ultra-dense Internet of Things (IoT) networks. The project integrates intelligent reflecting surfaces (IRS) to dynamically reconfigure wireless signal paths and improve secure communication channels between legitimate IoT devices and mitigate eavesdropping risks. The...
- This $499,999 Project Grant award was provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project aims to develop new, practical solutions to protect microcontroller-based systems from cyberattacks, supporting national priorities in healthcare, energy, transportation, and public safety. Key efforts include leveraging novel microcontroller hardware functionalities for memory management, tracing, and...
This Project Grant award, valued at $200,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award supports a research project titled "Collaborative Research: CISE Core Small: CSR: Multimodal Sensing-Based Security Mechanisms for IoT Systems" at Sam Houston State University. The research aims to develop innovative multimodal sensing-based security mechanisms to enhance the protection of mission-critical Internet-of-Things (IoT) systems, which increasingly rely on multimodal sensing capabilities. The project will pursue three integrated research thrusts: developing a framework for establishing secure keys between IoT devices using multimodal sensing data, designing a framework to protect multimodal sensing-native IoT systems against cyber threats, and enabling broader applications of multimodal sensing in security. The research will advance scientific knowledge at the intersection of wireless networking, mobile sensing, and AI, and the results will be integrated into educational materials, curriculum development, and efforts to increase participation in computing.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 7/31/25 |