US 12,072,973 B2
Securing industrial production from sophisticated attacks
Matthew C. Putman, Brooklyn, NY (US); Vadim Pinskiy, Wayne, NJ (US); Damas Limoge, Brooklyn, NY (US); and Andrew Sundstrom, Brooklyn, NY (US)
Assigned to Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US)
Filed by Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US)
Filed on Nov. 20, 2020, as Appl. No. 16/953,550.
Claims priority of provisional application 62/938,158, filed on Nov. 20, 2019.
Prior Publication US 2021/0256116 A1, Aug. 19, 2021
Int. Cl. G06F 21/55 (2013.01); G06N 20/00 (2019.01)
CPC G06F 21/554 (2013.01) [G06N 20/00 (2019.01); G06F 2221/034 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A manufacturing system, comprising:
one or more stations, each station configured to perform at least one step in a multi-step manufacturing process for a component;
a monitoring platform configured to monitor progression of the component throughout the multi-step manufacturing process; and
a control module configured to detect a cyberattack to the manufacturing system, the control module configured to perform operations, comprising:
receiving control values for a first station of the one or more stations, the control values comprising attributes of the first station;
determining that there is a cyberattack based on the control values for the first station using one or more machine learning algorithms; and
based on the determining, generating one or more actions to correct damage caused by the cyberattack, the generating comprising:
generating a plurality of possible actions to correct the damage caused by the cyberattack, and
identifying the one or more actions from the plurality of possible actions that yields a greatest correction in the damage caused by the cyberattack.