PIPages
Labs

Ramesh Karri

New York University, NY·Computer Science

Factories are becoming connected computers. Internet of Things sensors, artificial intelligence (AI) and networked machines allow custom products to be made where and when they are needed, an approach called smart manufacturing.

Fields

Computer Science

Engineering

Topics

cybersecurity

smart manufacturing

cyber-physical systems

Grants
1 known grant, through Mar 2027

What they work on

  1. Build a web infrastructure of virtual playgrounds where researchers share data, code and tools for studying cyberattacks on smart manufacturing machines and networks.
  2. Curate diverse cybersecurity datasets from smart manufacturing systems into a shared data infrastructure that supports development of AI-driven defenses.
  3. Connect researchers to real manufacturing equipment through a machine infrastructure that draws on national resources such as the Department of Energy's Smart Manufacturing Innovation Platform.
  4. Enable research on forensics and watermarking of manufacturing machines, protection against process-specific side-channel leaks, and fingerprinting and securing factory networks.

More about the research

That connectivity also opens new cybersecurity risks. IBM has identified manufacturing networks as the largest target for cyberattacks among all industry sectors. Manufacturing experts and cybersecurity experts have traditionally worked apart, and researchers lack shared data, tools and machines for studying how factories can be attacked and defended.

Why it matters

Smart factories link many manufacturers, designers and businesses, and they have become a major target for cyberattacks. Shared data, tools and machines could help researchers and practitioners better understand current and emerging threats to these systems. The platform could also speed the development of defenses that keep manufacturing networks secure.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Collaborative Research: Research Infrastructure: CCRI:New: Data-Driven Cybersecurity Research Infrastructure for Smart Manufacturing

NSF · Apr 2023 – Mar 2027

Closest labs

Jelena Mirkovic

University of Southern California, CA·Computer Science

Build SPHERE, a shared research infrastructure with diverse hardware, configurable networks and safe network policies, for reproducible cybersecurity and privacy experiments on IoT, edge computing and programmable networks.

Himanshu Thapliyal

Southern Methodist University, TX·Engineering·Early-career

Investigate how secret information leaks through the power traces of energy recovery circuits, and propose design methods that reduce leakage against differential power analysis attacks.

Nirnimesh Ghose

University of Nebraska-Lincoln, NE·Computer Science

Develop scalable trust-establishment methods for farm wireless nodes that use chirp spread spectrum (CSS) modulation, a long-range, low-power radio technique used in agricultural IoT.

The school

New York University: 72 labs on PI Pages, $1.5B a year on research, 540 research doctorates a year.

More about New York University

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