IoT Resource Sharing Security Matrix for Unknown Threat Mitigation
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Solution Overview
Problem
Existing cybersecurity systems for IoT devices in vehicles fail to account for unknown threats and do not provide continuous updates to threat matrices, relying on static expert-defined strategies that are not dynamically updated with new threats and mitigation actions.
Innovation Solution
A system that continuously updates a threat matrix with known-unknown threats and corresponding mitigation strategies, using a large language model to retrieve new threats and a smart mitigation optimizer to deploy strategies considering resource constraints, with AI-assisted population and monitoring of deployment performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static threat matrix relying on expert knowledge is used, then the system is simple to implement, but it cannot account for unknown threats and lacks continuous updates
Solution Approach 1:
The system automatically detects, analyzes, and updates threat matrices without requiring continuous expert intervention. The cybersecurity system performs self-updating by autonomously processing threat data, generating mitigation strategies, and maintaining the threat matrix, thereby achieving continuous improvement while reducing dependency on external expertise
Solution Approach 2:
The system implements continuous feedback loops where threat detection results feed into automated analysis processes, which then update the threat matrix and mitigation strategies. This closed-loop mechanism ensures the system continuously learns from new threats and adapts its protection capabilities automatically
2Reliability
If comprehensive threat analysis and continuous updates are implemented, then the cybersecurity protection is improved, but the system complexity and resource consumption increase
Solution Approach 1:
The system applies partial analysis by prioritizing threat assessment based on relevance and risk level. Instead of analyzing all possible threats uniformly, it focuses computational resources on the most critical and probable threats, achieving effective protection while consuming fewer resources
Solution Approach 2:
The system dynamically adjusts analysis parameters such as detection sensitivity, analysis depth, and update frequency based on current threat levels and resource availability. This allows the system to optimize its resource consumption while maintaining adequate protection across varying operational conditions
3Speed
If automated threat detection and mitigation are implemented, then the response speed is improved, but the system complexity increases
Solution Approach 1:
The system pre-generates and stores mitigation strategies for known threat patterns in the threat matrix. When a threat is detected, the system can immediately apply pre-prepared countermeasures without requiring complex real-time decision-making, thereby achieving fast response while managing system complexity
Solution Approach 2:
The system introduces an automated analysis layer that acts as an intermediary between threat detection and mitigation execution. This intermediate component automatically processes threat data, matches it against the threat matrix, and selects appropriate countermeasures, simplifying the overall automation architecture while maintaining rapid response capability
Data Source
AI summary
Examples described herein provide a method for mitigating known-unknown threats for an internet of things (IoT) device. The method includes receiving data from the IoT device and analyzing the data to determine whether the data indicates a potential cyber threat to the IoT device. The method further includes determining whether the potential cyber threat is a known-known cyber threat or a known-unknown cyber threat. Responsive to determining that the potential cyber threat is the known-unknown cyber threat, the method includes identifying a mitigation action associated with the known-unknown cyber threat to overcome the known-unknown cyber threat. The method further includes updating a resource sharing security matrix to include the known-unknown cyber threat and the mitigation action associated with the known-unknown cyber threat.