SHF: Small: Collaborative Research: Fuzzing Cyber-Physical System Development Tool Chains with Deep Learning (DeepFuzz-CPS)

FMitF: Track II: Hybrid and Dynamical Systems Verification on the CPS-VO

This project aims to transition recent research results that automate portions of the verification process of Cyber-Physical Systems into broader practice, particularly with industrial and student users. Cyber-physical systems (CPS) are networked embedded computing systems coupled with physics, such as in motor vehicles, aircraft, medical devices, and the electrical grid.

Cyber-Physical Systems Virtual Organization: Active Resources

The Cyber-Physical Systems Virtual Organization (CPS-VO) was founded by NSF in 2010 to: (i)facilitate and foster interaction and exchanges among CPS PIs and their teams; (ii) enable sharing of artifacts and knowledge generated by the projects with the broader engineering and scientific communities; and (iii) facilitate and foster collaboration and information exchange between CPS researchers and industry. During the last five years, the CPS-VO has become the focal point of the CPS community in the US and it has played a significant role in catalyzing CPS research world-wide.

Spatio-Temporal AI Inference Engines for System-Level Reliability

NeTS: JUNO2: STEAM: Secure and Trustworthy Framework for Integrated Energy and Mobility in Smart Connected Communities

The rapid evolution of data-driven analytics, Internet of things (IoT) and cyber-physical systems (CPS) are fueling a growing set of Smart and Connected Communities (SCC) applications, including for smart transportation and smart energy. However, the deployment of such technological solutions without proper security mechanisms makes them susceptible to data integrity and privacy attacks, as observed in a large number of recent incidents. If not addressed properly, such attacks will not only cripple SCC operations but also influence the extent to which customers are willing to share data.

Rapid Scenario-Driven Integrated Simulation Experimentation Framework

Cyber-Physical Systems (CPS) are composed of a wide range of networked physical, computational, and human/organization components. These systems are highly complex as they have many different heterogeneous components, such as physical, computational, and human. Simulation-based evaluation of the behavior of CPS is complex, as it involves multiple, heterogeneous, interacting domains. Each simulation domain has sophisticated tools, but their integration into a coherent framework is a difficult, time-consuming, labor-intensive, and error-prone task.

Cybersecurity Evaluation Framework for Industrial Control Systems

Evaluating the cybersecurity of a complex Industrial Control Systems (ICS), such as the Railway Transportation System (RTS), against a variety of cyber threats is a significantly hard and multi-faceted problem.

Pre-curser for Fully Distributed Control of Powergrids

CPS: Small: Integrated Reconfigurable Control and Moving Target Defense for Secure Cyber-Physical Systems

Cyber-physical systems (CPS) are engineered systems created as networks of interacting physical and computational processes. Most modern products in major industrial sectors, such as automotive, avionics, medical devices, and power systems already are or rapidly becoming CPS driven by new requirements and competitive pressures.

System Effectiveness using Data Modeling

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