Cyberspace Security Econometrics System Failure Impact Assessment
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Solution Overview
Problem
Current risk-management technologies fail to effectively quantify the impact of failures and vulnerabilities on complex systems, as they assume equal criticality of all components and stakeholders, neglecting variations in stakes and verification costs.
Innovation Solution
The implementation of a Mean-Failure-Cost (MFC) metric within a Cyberspace Security Econometrics System (CSES) that assesses the impact of failures by generating stake, dependency, threat, and mitigation matrices, allowing for real-time evaluation and prioritization of security measures based on varying stakeholder interests and component vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional risk-management technologies are used to assess security threats, then the assessment process is simplified, but the accuracy and precision of failure impact quantification deteriorates due to equal criticality assumption
Solution Approach 1:
The patent segments the security assessment process into multiple matrices (stake matrix, dependency matrix, threat matrix, mitigation matrix) that separately evaluate different aspects of system security. This segmentation allows for precise quantification of failure impacts while maintaining manageable complexity through structured analysis.
Solution Approach 2:
The patent applies local quality by assigning different criticality weights to different components and stakeholders based on their specific importance to system operation. Rather than uniform assessment, each element is evaluated with its own stake value, improving measurement precision without proportionally increasing overall complexity.
2Measurement precision
If stakeholder-specific stakes and component vulnerabilities are accounted for in real-time assessment, then the accuracy of security threat evaluation improves, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by pre-establishing the stake matrix, dependency matrix, and other assessment frameworks before real-time threat evaluation. This preparation work organizes data structures and relationships in advance, reducing computational complexity during actual real-time assessment while maintaining high accuracy.
Solution Approach 2:
The patent implements feedback mechanisms where assessment results from the matrices are continuously updated and used to refine threat evaluations. This feedback loop improves accuracy over time while the structured matrix approach prevents computational complexity from becoming unmanageable through systematic data organization.
3Ease of operation
If traditional MTTF metrics are used to evaluate system reliability, then the evaluation method is simple and straightforward, but the ability to prioritize security measures based on varying stakeholder interests deteriorates
Solution Approach 1:
The patent extends simple reliability evaluation by introducing local quality through stake-specific weights in the stake matrix. Each stakeholder's interests and component criticalities are locally adjusted rather than uniformly applied, enabling prioritization of security measures while building upon the simplicity of traditional MTTF concepts.
Solution Approach 2:
The patent adds another dimension to traditional reliability evaluation by incorporating stakeholder-specific stakes and dependency relationships into multiple matrices. This dimensional expansion transforms simple time-based MTTF metrics into multi-dimensional security assessments that maintain operational simplicity while achieving superior prioritization capability.
Data Source
AI summary
A system evaluates reliability, performance and/or safety by automatically assessing the targeted system's requirements. A cost metric quantifies the impact of failures as a function of failure cost per unit of time. The metrics or measurements may render real-time (or near real-time) outcomes by initiating active response against one or more high ranked threats. The system may support or may be executed in many domains including physical domains, cyber security domains, cyber-physical domains, infrastructure domains, etc. or any other domains that are subject to a threat or a loss.