| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | February 6, 2023 |
| Latest Amendment Date: | April 23, 2025 |
| Award Number: | 2225160 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Phillip Regalia
pregalia@nsf.gov (703)292-2981 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | February 15, 2023 |
| End Date: | January 31, 2026 (Estimated) |
| Total Intended Award Amount: | $286,684.00 |
| Total Awarded Amount to Date: | $334,684.00 |
| Funds Obligated to Date: |
FY 2024 = $20,000.00 FY 2025 = $20,000.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
2600 CLIFTON AVE CINCINNATI OH US 45220-2872 (513)556-4358 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
University Hall, Suite 530 Cincinnati OH US 45221-0222 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Secure &Trustworthy Cyberspace |
| Primary Program Source: |
01002324DB NSF RESEARCH & RELATED ACTIVIT 01002425DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Radio fingerprinting can distinguish wireless devices using radio frequency signals, as unique device hardware imperfections are carried in such signals. Radio fingerprinting is a physical-layer authentication technique and plays a critical role in identifying individual devices (e.g., IoT devices) and mission-critical targets (e.g., Unmanned Aerial Vehicles). This project develops new methods to promote the robustness, scalability, and resilience of radio fingerprinting by synergizing deep learning and signal processing.
This project addresses three research questions, specifically (1) how to improve the robustness of radio fingerprinting against temporal variations of wireless channels; (2) how to mitigate nonlinear receiver hardware imperfections; and (3) how to improve the resilience of radio fingerprinting against white-box attackers. The research outcomes of this project will be disseminated through publications and new course modules and projects. These will promote cybersecurity workforce development as well as broaden the participation of students from underrepresented groups in computing.
This project is jointly funded by the Secure and Trustworthy Cyberspace (SaTC) program, and the Established Program to Stimulate Competitive Research (EPSCoR).
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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