Plant Control Zoning for Cyberattack Damage Containment
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Solution Overview
Problem
Conventional plant control systems are vulnerable to cyberattacks due to the use of low-cost general-purpose devices, which can propagate damage across interconnected components, making it essential to develop technology that suppresses damage when a plant is subjected to a cyberattack.
Innovation Solution
A plant management method and device that acquire correlation information between components and zone them based on this information to isolate affected components, prevent the spread of damage, and prioritize critical components to maintain plant operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If low-cost general-purpose devices are used in plants, then device cost is reduced, but vulnerability to cyberattacks increases
Solution Approach 1:
The patent divides the plant control system into multiple isolated zones (control zones) based on correlation information between components. This segmentation allows the system to contain cyberattacks within specific zones, preventing propagation to other parts of the plant while using general-purpose devices.
Solution Approach 2:
The patent introduces a plant management device as an intermediary that acquires correlation information between components and determines appropriate control actions. This intermediary layer provides security management without requiring changes to the general-purpose devices themselves.
2Reliability
If components are isolated to prevent cyberattack propagation, then damage suppression is improved, but system complexity increases
Solution Approach 1:
The patent performs preliminary acquisition of correlation information between components before cyberattacks occur. This advance preparation enables the system to quickly determine appropriate isolation actions during attacks without complex real-time analysis, reducing operational complexity.
Solution Approach 2:
The plant management device automatically acquires correlation information and determines control actions based on predefined criteria. This self-service approach reduces the need for manual intervention and complex human decision-making during cyberattacks.
3Reliability
If correlation information is acquired and components are zoned, then cyberattack damage is suppressed, but information processing requirements increase
Solution Approach 1:
The patent extracts only the necessary correlation information between components that is relevant to cyberattack propagation. This selective extraction reduces information processing requirements compared to analyzing all possible component interactions in the plant.
Data Source
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AI summary
A plant management method includes: a step (S12) of acquiring correlation information indicating a correlation between a component subjected to a cyberattack and a component to be possibly affected by the cyberattack when a plant including a plurality of components is subjected to the cyberattack; and a step (S14) of zoning the plurality of components on the basis of the correlation information.