Award Abstract # 1931724
SaTC: EDU: Collaborative: An Educational Initiative on Cybersecurity in Additive Manufacturing

NSF Org: DGE
Division Of Graduate Education
Recipient: NEW YORK UNIVERSITY
Initial Amendment Date: July 24, 2019
Latest Amendment Date: May 10, 2022
Award Number: 1931724
Award Instrument: Standard Grant
Program Manager: Li Yang
liyang@nsf.gov
 (703)292-2677
DGE
 Division Of Graduate Education
EDU
 Directorate for STEM Education
Start Date: October 1, 2019
End Date: September 30, 2023 (Estimated)
Total Intended Award Amount: $464,034.00
Total Awarded Amount to Date: $522,034.00
Funds Obligated to Date: FY 2019 = $464,034.00
FY 2020 = $16,000.00

FY 2021 = $16,000.00

FY 2022 = $26,000.00
History of Investigator:
  • Nikhil Gupta (Principal Investigator)
    ngupta@nyu.edu
  • Ramesh Karri (Co-Principal Investigator)
Recipient Sponsored Research Office: New York University
70 WASHINGTON SQ S
NEW YORK
NY  US  10012-1019
(212)998-2121
Sponsor Congressional District: 10
Primary Place of Performance: New York University
NY  US  10012-1019
Primary Place of Performance
Congressional District:
10
Unique Entity Identifier (UEI): NX9PXMKW5KW8
Parent UEI:
NSF Program(s): Secure &Trustworthy Cyberspace
Primary Program Source: 04002223DB NSF Education & Human Resource
04001920DB NSF Education & Human Resource

04002021DB NSF Education & Human Resource

04002122DB NSF Education & Human Resource
Program Reference Code(s): 025Z, 7218, 7254, 7434, 9178, 9179, 9251, SMET
Program Element Code(s): 806000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

Additive manufacturing (AM), widely known as 3D printing, is the process of making three dimensional objects from a digital file. AM is enabling product innovation in a wide range of fields including automobiles, aircraft, spacecraft, toys, consumer products, food and medical implants and devices. A 3D printer is now located on the International Space Station to print parts on demand. Such high-value parts are designed by making extensive use of design, simulation and analysis tools, including high-performance computing, and make use of cloud-based resources throughout the process chain. In this project, New York University (NYU) is partnering with New York City College of Technology (City Tech) to educate students and to engage a wide range of stakeholders as the project builds capacity in the emerging field of AM security. The project will first develop an introductory graduate level course on AM security to be taught at both schools. This course will be part of a new Master of Science program and a new certificate program, both in AM. An on-line version of the course will also be offered. Complementing the course, the project will organize the HACK3D hackathon to build the security mindset of students for approaching digital manufacturing. In addition, the project will start an annual workshop and undergraduate summer research program in innovative research on the cybersecurity of digital manufacturing.

The educational framework in this project will be first of its kind to address the security challenge in AM field by a collaborative team of a mechanical engineer and a computer science cybersecurity expert. The NYU team has pioneered the AM attack taxonomy and design-based security scheme that are the core areas of this project. The security scheme requires a collaborative approach because innovative design features are embedded in the 3D solid models and extensively tested for possible breaches according to the proposed taxonomy of threats. The interdisciplinary framework by this project enables the creation of a cross-disciplinary course on cybersecurity in AM. The associated educational and continuing resources will prepare many undergraduates and graduate students as well as working professionals in cybersecurity in AM.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 11)
AbouelNour, Youssef and Gupta, Nikhil "In-process thermal imaging to detect internal features and defects in fused filament fabrication" The International Journal of Advanced Manufacturing Technology , v.129 , 2023 https://doi.org/10.1007/s00170-023-12535-2 Citation Details
Averardi, Alessandro and Cola, Corrado and Zeltmann, Steven Eric and Gupta, Nikhil "Effect of particle size distribution on the packing of powder beds: A critical discussion relevant to additive manufacturing" Materials Today Communications , v.24 , 2020 https://doi.org/10.1016/j.mtcomm.2020.100964 Citation Details
Beckwith, Caleb and Naicker, Harsh Sankar and Mehta, Svara and Udupa, Viba R. and Nim, Nghia Tri and Gadre, Varun and Pearce, Hammond and Mac, Gary and Gupta, Nikhil "Needle in a Haystack: Detecting Subtle Malicious Edits to Additive Manufacturing G-Code Files" IEEE Embedded Systems Letters , v.14 , 2022 https://doi.org/10.1109/LES.2021.3129108 Citation Details
Chen, G. L. and Gupta, Nikhil "Book Chapter: Image Processing and Machine Learning Methods Applied to Additive Manufactured Composites for Defect Detection and Toolpath Reconstruction" Composites science and technology , 2022 Citation Details
Chen, Guan Lin and Yanamandra, Kaushik and Gupta, Nikhil "Artificial Neural Networks Framework for Detection of Defects in 3D-Printed Fiber Reinforcement Composites" JOM , v.73 , 2021 https://doi.org/10.1007/s11837-021-04708-9 Citation Details
Linares, Michael and Aswani, Nishant and Mac, Gary and Jin, Chenglu and Chen, Fei and Gupta, Nikhil and Karri, Ramesh "Hack3D: Crowdsourcing the Assessment of Cybersecurity in Digital Manufacturing" Computer , v.54 , 2021 https://doi.org/10.1109/MC.2021.3074192 Citation Details
Mac, Gary and Mandal, Meenakshi and Rastogi, Aryan and Gailani, Gaffar and Pearce, Hammond and Gupta, Nikhil "Application of micro-computed tomography for authentication of 3D printed composite parts" Additive Manufacturing Letters , v.3 , 2022 https://doi.org/10.1016/j.addlet.2022.100104 Citation Details
Mahesh, Priyanka and Tiwari, Akash and Jin, Chenglu and Kumar, Panganamala R. and Reddy, A. L. Narasimha and Bukkapatanam, Satish T. S. and Gupta, Nikhil and Karri, Ramesh "A Survey of Cybersecurity of Digital Manufacturing" Proceedings of the IEEE , v.109 , 2021 https://doi.org/10.1109/JPROC.2020.3032074 Citation Details
Pearce, Hammond and Yanamandra, Kaushik and Gupta, Nikhil and Karri, Ramesh "FLAW3D: A Trojan-Based Cyber Attack on the Physical Outcomes of Additive Manufacturing" IEEE/ASME Transactions on Mechatronics , 2022 https://doi.org/10.1109/TMECH.2022.3179713 Citation Details
Tsoutsos, Nektarios Georgios and Gupta, Nikhil and Karri, Ramesh "Cybersecurity Road Map for Digital Manufacturing" Computer , v.53 , 2020 https://doi.org/10.1109/MC.2020.3003432 Citation Details
Yanamandra, Kaushik and Chen, Guan Lin and Xu, Xianbo and Mac, Gary and Gupta, Nikhil "Reverse engineering of additive manufactured composite part by toolpath reconstruction using imaging and machine learning" Composites Science and Technology , v.198 , 2020 https://doi.org/10.1016/j.compscitech.2020.108318 Citation Details
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PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The major goals of the project were development of educational resources on the topic of cybersecurity in additive manufacturing. The project was a collaborative effort between New York University and NY City College of Technology (NY City Tech ), a Minority Serving Institution. Profs. Nikhil Gupta and Ramesh Karri of NYU worked with Prof. Xiangdong Li and Prof. Gaffar Gailani at the NY City Tech during this project. The major outcomes of the project are:

  • A graduate level course on Additive Manufacturing (AM) Security was developed by the NYU team. The course is offered primarily in the Mechanical and Aerospace Engineering Department at NYU as ME-GY 6453 in the Fall semester. The Electrical and Computer Engineering students are able to take the course as elective with a course number from their department. In three offerings of the course during the project, a total 34 students registered for the course.
  • The AM security course material is shared with NY City Tech to adapt to their undergraduate population as a module focused on security. The course material is also shared with other universities, for example with Prof. Mark Yampolskiy of Auburn University.
  • A global hackathon on AM security HACK3D was launched. The Hackathon focuses on problems related to the design and manufacturing domain but focuses on cybersecurity aspects such as reverse engineering and intellectual property protection. Hack3D is organized as a part of Cybersecurity Week in November each year. A summer offering was also organized for two years due to high demand. The total registration in HACK3D over the four years has been 1994 participants. The philosophy of HACK3D organization has been published in an IEEE article (https://ieeexplore.ieee.org/abstract/document/9585150). The final videos of HACK3D are posted on YouTube.
  • An annual workshop on AM Security was launched with the title Reliable and Resilient Digital Manufacturing (R2DM) in collaboration with IEEE. In the first year of this workshop supported by the grant, 77 participants were registered. The workshop was organized at NYU and will continue to be supported by other grants in the future. A special edition of IEEE Embedded Systems Lettes was published based on the workshop.
  • The grant was initially severely impacted by COVID-19 lockdown and the in-person activities could not be organized for more that two years. In that case, most of the programming was organized by videoconferencing. A series of 4 panel discussions on AM security was organized each year. The videos are posted online on YouTube. 
  • The total views for the AM security videos posted on the PIs channels have more than 7000 views, which demonstrates the impact of the project on a large population base.
  • The grant resulted in a number of journal papers, conference presentations, and invited presentations, which form the permanent body of work on AM security.

Numerous educational and professional development resources, including workshop presentation videos, HACK3D challenge problems and solutions, publications and panel discussion videos are made available freely in the public domain to continue to inform and educate people in the manufacturing cuybersecurity domain.

 


Last Modified: 01/30/2024
Modified by: Nikhil Gupta

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