公开(公告)号：US20240045410A1

公开(公告)日：2024-02-08

申请号：US17761991

申请日：2022-02-04

Applicant: Singapore University of Technology and Design

Inventor： Gauthama Raman MANI IYER RAMANI ,  Aditya MATHUR

IPC: G05B23/02

CPC classification number: G05B23/0221 ,  G05B23/0254 ,  G05B23/0248

Abstract: An anomaly detection method includes determining state variables of an industrial control system based on a system design of the industrial control system; determining invariants governing the state variables based on the system design; receiving historical measurement data of the state variables of each invariant from the industrial control system; constructing a set of behavioural models for each invariant using a set of machine learning algorithms and the historical measurement data of the respective state variables, the behavioural models representing normal behaviour of the respective state variables; predicting measurement data of the state variables of each invariant using the behavioural models and the historical measurement data of the respective state variables; receiving current measurement data of the state variables during operation of the industrial control system; and detecting the anomalies based on deviations between the current measurement data and predicted measurement data of the state variables of each invariant.