Adaptive IIoT Cybersecurity Using Digital Twins for Risk Control
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Solution Overview
Problem
Conventional cybersecurity measures for industrial control systems are static and reactive, failing to dynamically adapt to changing threat landscapes, leading to inadequate risk mitigation.
Innovation Solution
A self-adaptive cybersecurity system that employs a security risk weighting model to autonomously determine and deploy security controls, using a digital twin to predict operational impact and ensure continuous system operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static security policies and controls are manually configured, then security configuration is simple and manageable, but the system cannot adapt to changing threat landscapes and security posture remains inadequate
Solution Approach 1:
The patent implements dynamic security policies that automatically adjust based on real-time threat intelligence and security posture assessment. The system transitions from static, manually-configured security controls to dynamic controls that adapt their configuration, intensity, and deployment location based on changing threat conditions, thereby resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The system incorporates continuous feedback loops where security posture is constantly assessed, threat intelligence is ingested, and security controls are automatically adjusted in response. This closed-loop feedback mechanism enables the system to adapt to evolving threats while maintaining manageable complexity through automated decision-making algorithms.
2Speed
If manual security adjustments are made, then changes can be carefully controlled, but the response time to mitigate security risks is delayed
Solution Approach 1:
The system implements self-service automation where security controls are automatically configured, deployed, and adjusted without manual intervention. The security management system autonomously assesses security posture, determines appropriate controls, and executes deployment based on threat intelligence, dramatically improving response speed while managing automation through predefined policies and constraints.
Solution Approach 2:
The system performs preliminary actions by pre-configuring security control templates and policies that can be rapidly deployed when threats are detected. This preparation of security measures in advance enables faster response times while maintaining controlled automation through pre-approved security configurations.
3Reliability
If security controls are deployed to mitigate risks, then security posture improves, but operational processes may be disrupted
Solution Approach 1:
The system applies security controls with local quality by deploying controls selectively to specific assets, network segments, or processes based on their individual risk profiles and threat exposure. This targeted approach improves security posture for critical assets while minimizing disruption to operational processes that have lower risk profiles, thereby resolving the contradiction between security reliability and operational productivity.
Solution Approach 2:
The system implements partial security actions by deploying controls proportional to the assessed risk level rather than applying uniform security measures across all systems. This risk-proportional approach ensures that security controls are strong enough to protect critical assets while being less intrusive for lower-risk operations, maintaining both security posture and operational continuity.
4Measurement precision
If comprehensive security assessment is performed, then accurate security posture determination is achieved, but assessment time and computational resources increase
Solution Approach 1:
The system implements periodic security assessments at strategically determined intervals based on threat intelligence, asset criticality, and risk levels. This periodic approach maintains accurate security posture determination for high-priority assets while reducing assessment frequency for lower-priority systems, thereby balancing measurement precision with time efficiency.
Solution Approach 2:
The system performs preliminary security assessments and baseline measurements in advance, establishing security posture benchmarks that reduce the need for comprehensive re-assessments. This preliminary action enables accurate security posture determination to be maintained with reduced assessment time through comparison against established baselines and incremental updates.
Data Source
AI summary
A self-adaptive security system for a control system executing a plurality of Industrial of Internet of Things (IIoT) applications. A security processor communicatively coupled to the control system assesses a current security posture of the control system and determines if the current security posture is within or outside an acceptable risk tolerance as a function of a current threat landscape affecting the control system. In response to determining the current security posture is outside the acceptable risk tolerance, the security processor executes a risk weighting model to determine a modified cybersecurity strategy and autonomously executes the modified cybersecurity strategy to improve the current security posture of the control system relative to changes in the current threat landscape. The security processor also executes a digital twin to simulate operations of the control system and assesses a potential impact of the modified cybersecurity strategy on the operations before executing it.