Secure, Trustworthy and Scalable Digital Manufacturing Cyber-Physical System

Nikhil Gupta, Ph.D.

Professor, Mechanical and Aerospace Engineering

Center for Cybersecurity

New York University, Tandon School of Engineering

6 MetroTech Center, Brooklyn, NY 11201

Email: ngupta@nyu.edu

Abstract

The digital manufacturing cyber-physical system makes extensive use of computational tools, optimization methods and machine learning models. Development of a scalable, reliable and resilient future manufacturing system requires integrating security as a parameter in the design, manufacturing and qualification phases. Many industrial parts have been redesigned using optimization and machine learning methods to save weight and improve functionality. Additive manufacturing has enabled manufacturing of such designs. However, it has been shown that using the same algorithms and manufacturing machines, designs and tool paths can be reverse engineered and part replicas can be created with high accuracy. These observations require thinking of building security as an integral part of the manufacturing cyber-physical system. Ideally, the entire digital manufacturing system, from the product design to manufacturing and qualification phases, can be built on the same platform. Implementation of such a vision requires manufacturing and computer security professionals to work collaboratively on creating solutions specifically for DM. This talk will discuss the need for cybersecurity in the context of digital manufacturing and present examples of security methods that can help in securing the manufacturing field from intellectual property theft and reverse engineering.

Brief Bio