| NSF Org: |
OAC Office of Advanced Cyberinfrastructure (OAC) |
| Recipient: |
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| Initial Amendment Date: | September 11, 2023 |
| Latest Amendment Date: | April 23, 2024 |
| Award Number: | 2319944 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Daniel F. Massey
dmassey@nsf.gov (703)292-5147 OAC Office of Advanced Cyberinfrastructure (OAC) CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2023 |
| End Date: | September 30, 2026 (Estimated) |
| Total Intended Award Amount: | $1,170,202.00 |
| Total Awarded Amount to Date: | $1,170,202.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
3 RUTGERS PLZ NEW BRUNSWICK NJ US 08901-8559 (848)932-0150 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
3 RUTGERS PLZA NEW BRUNSWICK NJ US 08901-8559 |
| 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): |
CYBERINFRASTRUCTURE, Cybersecurity Innovation |
| Primary Program Source: |
01AB2324DB R&RA DRSA DEFC AAB |
| 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
Climate change and natural hazards present significant dangers to both humanity and critical cyberinfrastructures (CI). In response, the Earth Sciences community has adopted a cross-boundary approach to monitoring and mitigating these threats by developing CI and workflows that encompass sensors, edge computing nodes, network backbones, and remote cloud data centers. Unfortunately, this cross-boundary approach is vulnerable to both physical (resiliency) and cyber (security) threats. Current state-of-the-art techniques for addressing these threats take a fragmented approach, focusing on specific resources and proving ineffective for the overall hazard workflow. This project proposes the HazardMon framework, which scales horizontally (from sensors to edge cloud to WAN backbones to remote cloud) and vertically (across all layers of the hardware and software stack) to combat these two threats. The project will open-source HazardMon, and results will be disseminated to the community. The broadening participation activities in this project will catalyze community engagement and experiential learning, resulting in a globally competitive workforce. The project will also collaborate with stakeholders, particularly the NSF SAGE project, to facilitate the practical implementation of these ideas.
HazardMon will adopt an interdisciplinary approach that encompasses computer and earth sciences across Rutgers and the University of Oregon, addressing the two threats through three main thrusts. First, HazardMon will utilize the NSF-funded Parasol micro-datacenter to identify threat telemetry for various representative hazard scenarios. Additionally, it will include a monitoring service to observe diverse sensors, WAN backbones, and remote cloud/HPC backends based on the identified telemetry. Second, HazardMon will focus on intelligent techniques to filter and process threat telemetry at the edge, distinguishing between threat telemetry and hazard workflow data. Third, HazardMon will incorporate workflow-specific configuration spaces to develop resilience strategies that mitigate physical threats across CI resources and workflows. Furthermore, it will feature a three-layered mitigation solution to address cyber threats.
This award by the NSF Office of Advanced Cyberinfrastructure is also supported by National Discovery Cloud for Climate (NDC-C) resources.
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.
Please report errors in award information by writing to: awardsearch@nsf.gov.
