US 12,206,684 B2
Security and safety of an industrial operation using opportunistic sensing
Chirag Malkan, Brookfield, WI (US); Kyle Crum, Bayside, WI (US); David Vasko, Hartland, WI (US); and Steven T. Haensgen, New Berlin, WI (US)
Assigned to Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed by Rockwell Automation Technologies, Inc., Mayfield Heights, OH (US)
Filed on Sep. 10, 2021, as Appl. No. 17/471,783.
Prior Publication US 2023/0078632 A1, Mar. 16, 2023
Int. Cl. H04L 9/40 (2022.01); G05B 19/418 (2006.01); G06F 8/65 (2018.01); G06F 16/182 (2019.01)
CPC H04L 63/1416 (2013.01) [G05B 19/41835 (2013.01); G06F 8/65 (2013.01); G06F 16/182 (2019.01); G05B 2219/31449 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving sensor information from a plurality of sensors of an industrial operation, sensor information from at least a portion of the plurality sensors is used for functionality of a plurality of equipment of the industrial operation;
monitoring data traffic on a network communicably connecting the plurality of equipment of the industrial operation;
deriving a baseline signature from the sensor information, the baseline signature encompassing a range of normal operating conditions;
identifying an abnormal operating condition of the industrial operation based on a comparison between additional sensor information from the plurality of sensors and the baseline signature;
identifying an abnormal data traffic condition based on the data traffic on the network;
determining that a correlation exists between the abnormal operating condition and the abnormal data traffic condition, the correlation indicating that (i) the abnormal data traffic condition is a potential cause of the abnormal operating condition or (ii) the abnormal data traffic condition and the abnormal operating condition have a shared cause; and
sending a security alert in response to determining that the correlation exists between the abnormal operating condition and the abnormal data traffic condition.