公开(公告)号：US20230075736A1

公开(公告)日：2023-03-09

申请号：US17406246

申请日：2021-08-19

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Subhrajit ROYCHOWDHURY ,  Masoud ABBASZADEH ,  Georgios BOUTSELIS ,  Joel MARKHAM

IPC: G06F21/54 ,  G06F21/55 ,  G06F21/57 ,  G05B19/048

Abstract: The present disclosure provides techniques for implementing self-adapting neutralization against cyber-faults within industrial assets. The disclosed neutralization techniques may include obtaining an input dataset from a plurality of nodes of industrial assets and reconstructing compromised nodes in the plurality of nodes to neutralize cyber-faults detected based on the input dataset. A confidence metric may be computed for the reconstruction of the compromised nodes, e.g., using inductive conformal prediction. Based on the confidence metric and the reconstruction of the compromised nodes, input signals from the reconstruction of the compromised nodes may be transformed, or configuration parameters for a controller of the industrial assets may be tuned.

公开(公告)号：US20230071394A1

公开(公告)日：2023-03-09

申请号：US17406205

申请日：2021-08-19

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Subhrajit ROYCHOWDHURY ,  Masoud ABBASZADEH ,  Georgios BOUTSELIS ,  Joel MARKHAM

IPC: G05B23/02 ,  G06F16/23 ,  G08B29/18

Abstract: The present disclosure relates to techniques for detecting cyber-faults in industrial assets. Such techniques may include obtaining an input dataset from a plurality of nodes of industrial assets and predicting fault nodes in the plurality of nodes by inputting the input dataset to a one-class classifier. The one-class classifier may be trained on normal operation data obtained during normal operations of the industrial assets. Further, the cyber-fault detection techniques may include computing a confidence level of cyber fault detection for the input dataset using the one-class classifier and adjusting decision thresholds based on the confidence level for categorizing the input dataset as normal or including cyber-faults. The predicted fault nodes and the adjusted decision thresholds may be used for detecting cyber-faults in the plurality of nodes of the industrial assets.

公开(公告)号：US20240427904A1

公开(公告)日：2024-12-26

申请号：US18762999

申请日：2024-07-03

Applicant: General Electric Company

Inventor： Georgios BOUTSELIS ,  Masoud ABBASZADEH

IPC: G06F21/57 ,  G06F16/2457

Abstract: The present application describes techniques for node selection and ranking for, e.g., attack detection and localization in cyber-physical systems, without relying on digital twins, computer models of assets, or operational domain expertise. The described techniques include obtaining an input dataset of values for a plurality of nodes (e.g., sensors, actuators, controllers, software nodes) of industrial assets, computing a plurality of principal components (PCs) for the input dataset according to variance of values for each node, computing a set of common weighted PCs based on the plurality of PCs according to variance of each PC, and ranking each node based on the node's contribution to the set of common weighted PCs.

公开(公告)号：US20230093713A1

公开(公告)日：2023-03-23

申请号：US17479370

申请日：2021-09-20

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Georgios BOUTSELIS ,  Masoud ABBASZADEH

IPC: G06F21/57 ,  G06F16/2457

Abstract: The present application describes techniques for node selection and ranking for, e.g., attack detection and localization in cyber-physical systems, without relying on digital twins, computer models of assets, or operational domain expertise. The described techniques include obtaining an input dataset of values for a plurality of nodes (e.g., sensors, actuators, controllers, software nodes) of industrial assets, computing a plurality of principal components (PCs) for the input dataset according to variance of values for each node, computing a set of common weighted PCs based on the plurality of PCs according to variance of each PC, and ranking each node based on the node's contribution to the set of common weighted PCs.