| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | January 25, 2017 |
| Latest Amendment Date: | April 26, 2021 |
| Award Number: | 1651954 |
| Award Instrument: | Continuing 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: | May 1, 2017 |
| End Date: | April 30, 2023 (Estimated) |
| Total Intended Award Amount: | $500,000.00 |
| Total Awarded Amount to Date: | $500,000.00 |
| Funds Obligated to Date: |
FY 2018 = $93,787.00 FY 2019 = $95,364.00 FY 2020 = $96,974.00 FY 2021 = $98,621.00 |
| History of Investigator: |
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| Recipient Sponsored Research Office: |
550 S COLLEGE AVE NEWARK DE US 19713-1324 (302)831-2136 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
DE US 19716-2553 |
| 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: |
01001819DB NSF RESEARCH & RELATED ACTIVIT 01001920DB NSF RESEARCH & RELATED ACTIVIT 01002021DB NSF RESEARCH & RELATED ACTIVIT 01002122DB 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
Database-driven dynamic spectrum sharing (DSS) is a key enabling technical paradigm approved by FCC for increasing wireless spectrum access. In such a system, a geo-location database administrator (DBA) accepts registrations from primary users and determines spectrum availability, and secondary users are all required to inquire the DBA about the availability of any interested spectrum before using it. An effective approach to improve the spectrum-estimation accuracy in database-driven DSS systems is to deploy a small number of dedicated spectrum sensors at strategic locations and outsource most spectrum-sensing tasks to ubiquitous mobile users. This approach is not only highly feasible given the wide penetration of increasingly powerful mobile devices into everyday life and the foreseeable prevalence of DSS in future mobile communication systems, but also expected to be much more cost-effective than deploying a large-scale network of dedicated distributed spectrum sensors.
This project is to investigate several fundamental security and privacy challenges associated with database-driven DSS systems armed with spectrum-sensing outsourcing. Specifically, there are four main thrusts in this project: (1) secure radio environment map construction in the presence of false spectrum measurements; (2) incentive-compatible and differentially-private mechanisms for crowdsourced spectrum sensing; (3) physical-layer secondary user authentication techniques for spectrum misuse detection; and (4) performance evaluation through a combination of measurement campaign, simulation study, prototyping, and experimentation. The project will actively channel the research results into development of undergraduate and graduate curricula, engage undergraduate and under-represented students into research, and include outreach activities to K-12, underrepresented, and oversea students as well as the local military community.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The Federal Communications Commission (FCC) has endorsed Database-Driven Dynamic Spectrum Sharing (DSS) as a critical technical paradigm for expanding wireless spectrum access. A promising strategy to enhance spectrum-estimation accuracy within these systems involves strategically deploying a limited number of specialized spectrum sensors while offloading the majority of sensing tasks to a network of ubiquitous mobile users. This strategy is particularly viable, given the ubiquity of high-capability mobile devices and the anticipated widespread adoption of DSS in upcoming mobile communication systems.
This research project aimed to address foundational security and privacy challenges intrinsic to Database-Driven DSS systems that utilize spectrum-sensing outsourcing. The project focused on four integrated research thrusts, including the development of novel techniques for securely constructing Radio Environment Map in the presence of unknown number of false spectrum measurements, the design of differentially private incentive mechanisms for stimulating mobile users' participation in crowdsourced spectrum sensing, the investigation of physical-layer authentication techniques for detecting spectrum misuse, and collecting spectrum measurement dataset and building of a prototype system to validate and evaluate the proposed techniques.
The outcomes of this project have not only led to a series of scholarly publications but also possess the potential to act as a catalyst for the rapid evolution and deployment of Database-Driven DSS systems. Additionally, the project has contributed to the academic discourse in fields such as network and distributed system security, data privacy, and mobile crowdsourcing. The research findings have been incorporated into multiple graduate-level courses at the University of Delaware, offering PhD students specialized training in cybersecurity, wireless networking, and mobile computing. As a result of this project, one female PhD graduate is now working as a tenure-track assistant professor in a US research institution.
Last Modified: 09/01/2023
Modified by: Rui Zhang
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