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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
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Projects
CPS: TTP Option: Synergy: Collaborative Research: Threat-Assessment Tools for Management-Coupled Cyber- and Physical- Infrastructure
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Submitted by Yan Wan on Tue, 09/19/2017 - 2:47pm
Project Details
Lead PI:
Yan Wan
Performance Period:
09/01/16
-
08/31/19
Institution(s):
University of Texas at Arlington
Sponsor(s):
National Science Foundation
Project URL:
https://engineering.unt.edu/electrical/drwan/research
Award Number:
1714826
789 Reads. Placed 479 out of 804 NSF CPS Projects based on total reads on all related artifacts.
Abstract:
Strategic decision-making for physical-world infrastructures is rapidly transitioning toward a pervasively cyber-enabled paradigm, in which human stakeholders and automation leverage the cyber-infrastructure at large (including on-line data sources, cloud computing, and handheld devices). This changing paradigm is leading to tight coupling of the cyber- infrastructure with multiple physical- world infrastructures, including air transportation and electric power systems. These management-coupled cyber- and physical- infrastructures (MCCPIs) are subject to complex threats from natural and sentient adversaries, which can enact complex propagative impacts across networked physical-, cyber-, and human elements. We propose here to develop a modeling framework and tool suite for threat assessment for MCCPIs. The proposed modeling framework for MCCPIs has three aspects: 1) a tractable moment-linear modeling paradigm for the hybrid, stochastic, and multi-layer dynamics of MCCPIs; 2) models for sentient and natural adversaries, that capture their measurement and actuation capabilities in the cyber- and physical- worlds, intelligence, and trust-level; and 3) formal definitions for information security and vulnerability. The attendant tool suite will provide situational awareness of the propagative impacts of threats. Specifically, three functionalities termed Target, Feature, and Defend will be developed, which exploit topological characteristics of an MCCPI to evaluate and mitigate threat impacts. We will then pursue analyses that tie special infrastructure-network features to security/vulnerability. As a central case study, the framework and tools will be used for threat assessment and risk analysis of strategic air traffic management. Three canonical types of threats will be addressed: environmental-to-physical threats, cyber-physical co-threats, and human-in-the-loop threats. This case study will include development and deployment of software decision aids for managing man-made disturbances to the air traffic system. This is a continuing grant of Award # 1544863
Related Artifacts
Presentations
CPS: TTP Option: Synergy: Collaborative Research: Threat-Assessment Tools for Management-Coupled Cyber- and Physical- Infrastruc
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Posters
Co-Design of Networking and Decentralized Control to Enable Aerial Networking in an Uncertain Airspace
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Publications
{Air Traffic Management}
{Securing Transportation Cyber-Physical Systems}
{A Layered and Aggregated Queuing Network Simulator for Detection of Abnormalities}
{A Network Condition-Centric Flow Selection and Rerouting Strategy to Mitigate Air Traffic Congestion under Uncertainties}
{Proactive and reactive management of non-weather capacity disruption events in the national airspace system: A flow modeling and design approach}
{Sparse allocation of resources in dynamical networks with application to spread control}
{Distance measure to cluster spatiotemporal scenarios for strategic air traffic management}
{Effective Uncertainty Evaluation in Large-Scale Systems (book chapter)}
{Strategic Air Traffic Management under Uncertainties using Scalable Sampling-based dynamic Programming and Q-learning Approaches}
{Scalable Multidimensional Uncertainty Evaluation Approach to Strategic Air Traffic Flow Management}
{A Scalable Sampling Method to High-Dimensional Uncertainties for Optimal and Reinforcement Learning-Based Controls}
Videos
Co-Design of Networking and Decentralized Control to Enable Aerial Networking in an Uncertain Airspace
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CPS Domains
Avionics
Modeling
Critical Infrastructure
Transportation
Foundations