EAGER:Collaborative Research: Blockchain Graphs as Testbeds of Power Grid Resiliece and Functionality Metrics
EAGER:Collaborative Research: Blockchain Graphs as Testbeds of Power Grid Resiliece and Functionality Metrics
批准号:
2039716
负责人:
Harold Vincent Poor
金额:
$15.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-11-15 至 2023-10-31
中文摘要
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英文摘要
Rapid adoption of renewable energy, growth of distributed generation technologies and microgrid deployment, widespread implementations of IoT devices and associated cybersecurity concerns have led to an ever expanding risk landscape and have, in turn, shifted the focus from energy system protection to resilience. Furthermore, the past two decades have seen a consistently increasing interest in the application of tools developed in the interdisciplinary field of complex network analysis to enhance our understanding of functionality, security, and reliability of power systems and critical infrastructures in which power grid networks serve as an integral constituent. Such systems are intrinsically interconnected and interdependent, and as a result, failure of one component due to manmade and natural cause, e.g., adverse weather, aging, and intentional attacks such as terrorism, can lead to a catastrophic cascade of failures. However, one of the key obstacles for developing systematic and reliable assessment of power grid and critical infrastructure resiliency under various threats is unavailability of ground truth data on system response to adversaries due to data security, privacy and confidentiality. Motivated by these problems rooted in the analysis of modern power grids but inherent to many other complex network systems and given public availability of all blockchain transaction transactions, we propose to use blockchain graphs as a test-bed for validation of functionality and resilience metrics on complex power grid networks.Exploring power grid sensitivity to targeted attacks and failures in scenarios allowing for validation of any proposed methodology against ground truth is the key toward developing reliable risk mitigation strategies for power systems. The novel research approaches to be developed in this project aim to lay foundations for deeper knowledge integration and transfer across power systems, finance, social sciences and other disciplines by utilizing graph-theoretic analysis and adopting a common mathematical language of computational topology. By promoting new synergistic research initiatives, the project will further advance knowledge creation not only on power grids and blockchain but on modern complex networks, from brain connectome to social media platforms to telecommunication-- thereby facilitating resilience and sustainability of our society.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.
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DOI:
10.1073/pnas.2019994118
发表时间:
2021-05
期刊:
Proceedings of the National Academy of Sciences
影响因子:
--
作者:
[Monisha Yuvaraj;A. K. Dey;V. Lyubchich;Y. Gel;H. Poor]
通讯作者:
Monisha Yuvaraj;A. K. Dey;V. Lyubchich;Y. Gel;H. Poor
DOI:
10.1109/tit.2022.3220185
发表时间:
2021-10
期刊:
IEEE Transactions on Information Theory
影响因子:
2.5
作者:
[Anirudh Sridhar;H. Poor]
通讯作者:
Anirudh Sridhar;H. Poor
DOI:
10.1109/mci.2022.3180932
发表时间:
2022-08-01
期刊:
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
影响因子:
9
作者:
[Ma, Chuan, Li, Jun, Poor, H. Vincent]
通讯作者:
Poor, H. Vincent
DOI:
10.1109/tsg.2023.3236785
发表时间:
2021-12
期刊:
IEEE Transactions on Smart Grid
影响因子:
9.6
作者:
[Ke Sun;I. Esnaola;A. Tulino;H. Vincent Poor]
通讯作者:
Ke Sun;I. Esnaola;A. Tulino;H. Vincent Poor
DOI:
10.1109/mwc.001.2100255
发表时间:
2021-08-06
期刊:
IEEE WIRELESS COMMUNICATIONS
影响因子:
12.9
作者:
[Khan, Ali Hussain, Ul Hassan, Naveed, Poor, H. Vincent]
通讯作者:
Poor, H. Vincent
共 9 条
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NSF-BSF:CIF: Small: A Unified View of Estimation and Information Relationships for Networks and Beyond
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EAGER: Collaborative Research: Local Topological Properties of Power Flow Networks, and Their Role in Power System Functionality
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资助金额:$12.5万
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AMPS: Collaborative Research: Analysis of Local Power Grid Properties: From Network Motifs to Tensors
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WiFiUS: Collaborative Research: Secure Inference in the Internet of Things
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EAGER: Physical Layer Security for the Internet of Things
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EAGER: Renewables: Collaborative Research: Foundations of Prosumer-Centric Grid Energy Management
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资助金额:$40.0万
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WiFiUS: Collaborative Research: Sequential Inference and Learning for Agile Spectrum Use
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Collaborative Research: EARS: Fundamental Limits of Spectrum Sensing
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ATD: Collaborative Research: Mathematical Challenges in Distributed Quickest Detection
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CIF: Small: Privacy and Utility of Databases: An Information-Theoretic Approach
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Collaborative Research: Communicating confidential information over wireless networks
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项目类别:Standard Grant
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Collaborative Research: NeTS-ProWiN: CHARIoT: A Cooperative, Hybrid wireless ARchitecture for the next generation InterneT
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The Wireless Revolution: Teaching Advanced Techology to Diverse Audiences
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海外基金