Invention Grant
- Patent Title: Industrial process system threat detection
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Application No.: US17442901Application Date: 2019-04-09
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Publication No.: US11979419B2Publication Date: 2024-05-07
- Inventor: Chengtao Wen , Mohamed El Amine Houyou , Juan L. Aparicio Ojea , Mathias Maurmaier , Martin Sehr , Tao Cui
- Applicant: Siemens Aktiengesellschaft
- Applicant Address: DE Munich
- Assignee: SIEMENS AKTIENGESELLSCHAFT
- Current Assignee: SIEMENS AKTIENGESELLSCHAFT
- Current Assignee Address: DE Munich
- International Application: PCT/US2019/026439 2019.04.09
- International Announcement: WO2020/209837A 2020.10.15
- Date entered country: 2021-09-24
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G05B23/02

Abstract:
Examples of techniques for threat detection in an industrial process system are described herein. An aspect includes determining a plurality of subsystems of an industrial process system. Another aspect includes, for each of the plurality of subsystems, constructing and training a respective deep autoencoder (DAE) model of the subsystem based on data corresponding to the industrial process system. Another aspect includes monitoring the industrial process system using the plurality of DAE models corresponding to the plurality of subsystems. Another aspect includes, based on the plurality of DAE models, determining a cyberattack in a subsystem of the plurality of subsystems.
Public/Granted literature
- US20220201026A1 INDUSTRIAL PROCESS SYSTEM THREAT DETECTION Public/Granted day:2022-06-23
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