About Us

Data-Driven Cybersecurity Research Infrastructure For Smart Manufacturing (DDCRIS)

Welcome to the website of the NSF CCRI project on Data-Driven Cybersecurity Research Infrastructure for Smart Manufacturing (DDCRIS).

This project aims to create a vibrant CISE research community for data-driven cybersecurity for smart manufacturing by launching a community research platform integrating three elements: a web infrastructure, a data infrastructure, and a smart manufacturing machine infrastructure. Learn more about our project, our team, our publications, and our resources on this website.

Objectives

The main objectives of the DDCRIS project are:

  • To create a research infrastructure that can support the development and evaluation of data-driven cybersecurity solutions for smart manufacturing.
  • To foster a community of CISE researchers who can collaborate and exchange ideas, data, codes, resources, and tools for smart manufacturing cybersecurity.
  • To advance the state-of-the-art in smart manufacturing cybersecurity by addressing the challenges and opportunities in this emerging field.
  • To enhance the education and training of the next generation of CISE professionals and students in smart manufacturing cybersecurity.
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Outcomes

The expected outcomes of the DDCRIS project are:

  • A web infrastructure that can host and manage the data, codes, resources, and tools for smart manufacturing cybersecurity.
  • A data infrastructure that can collect and organize the cybersecurity datasets for smart manufacturing from various sources.
  • A smart manufacturing machine infrastructure that can provide physical and virtual machines for simulating and emulating different smart manufacturing scenarios and evaluating the cybersecurity solutions.
  • A common interface and a common data format that can enable the interoperability and collaboration among the web, data, and machine infrastructures.
  • A set of publications, reports, tutorials, workshops, and webinars that can disseminate the research findings and best practices of the DDCRIS project.
  • A network of CISE researchers who can share and access the research infrastructure and the community resources for smart manufacturing cybersecurity.


Impact

The potential impact of the DDCRIS project are:

  • To improve the security and resilience of smart manufacturing systems and processes by providing data-driven cybersecurity solutions.
  • To accelerate the innovation and adoption of smart manufacturing technologies by reducing the cybersecurity risks and challenges.
  • To enhance the competitiveness and productivity of the U.S. manufacturing industry by enabling custom products to be made at the point and time of need using smart manufacturing technologies.
  • To inspire and educate the future CISE workforce and students in smart manufacturing cybersecurity by providing them with the research infrastructure and the community resources.
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Research

Be catalysts in pushing and motivating cybersecurity for smart manufacturing

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Community

Build a community of curious, engaged, and global enthusiasts and experts in being at forefront of manufacturing cybersecurity.

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Foudations

Bringing together expertise in smart manufacturing with cybersecurity experts.

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Leadership

Led by Texas A&M University, New York University, City University of New York, and University of Delaware, along with multiple industry and collaborative partners.

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