Security Reliance Scoring for Cryptographic Material
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Solution Overview
Problem
Current methods for assessing the security and trustworthiness of cryptographic material in systems evaluate aspects in isolation, failing to provide a comprehensive understanding of system security or trustworthiness.
Innovation Solution
A system that calculates a security reliance score by aggregating property scores from various attributes of cryptographic material and its context, using weighted sums, table lookups, and learning algorithms to dynamically adjust scores based on changing environments and patterns in incoming data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If aspects of cryptographic material are evaluated in isolation, then the evaluation process is simple and manageable, but the understanding of system security and trustworthiness is insufficient
Solution Approach 1:
The patent segments the security evaluation into multiple independent aspects (cryptographic material properties, system configuration, operational context) that can be assessed separately and then aggregated. This allows comprehensive evaluation without overwhelming complexity by breaking down the overall security assessment into manageable components that are evaluated in isolation but combined to provide complete understanding.
Solution Approach 2:
The patent merges multiple isolated evaluations of different aspects (cryptographic material, system configuration, operational context) into a unified security reliance score. By combining these separately evaluated aspects through weighted aggregation, the system achieves comprehensive security understanding while maintaining the simplicity of individual aspect evaluations.
2Reliability
If a comprehensive evaluation of cryptographic material and context is performed, then security understanding is improved, but the evaluation complexity increases
Solution Approach 1:
The patent implements dynamic weighting for different evaluation aspects based on their relative importance to security. The weighting scheme allows the evaluation system to adaptively emphasize critical aspects while de-emphasizing less important ones, achieving reliable comprehensive assessment without requiring equal complexity for all evaluation components.
Solution Approach 2:
The patent changes the parameters of evaluation by introducing weighted scores for different aspects rather than treating all aspects equally. This parameter change allows comprehensive security assessment to be achieved through mathematical aggregation of weighted aspects, reducing the effective complexity of processing all evaluation data uniformly.
3Measurement precision
If multiple security aspects are evaluated and aggregated, then the security score reflects comprehensive trustworthiness, but the calculation complexity increases
Solution Approach 1:
The patent replaces manual comprehensive security evaluation with an automated scoring system that uses mathematical aggregation of weighted aspects. This substitution of mechanical/manual processes with algorithmic computation achieves precise trustworthiness measurement while maintaining high evaluation efficiency through automated calculation rather than manual analysis.
Data Source
AI summary
In representative embodiments, a system and method to calculate a security reliance score is illustrated. The security reliance score is calculated from an aggregation of property sub-scores. The property sub-scores are, in turn, based on scores for attributes that make up the properties. A learning model is employed to adjust scores over time based on collected information. Additionally, statistical sampling can adjust scores based on context, including geo-location context. Security reliance scores can be used to identify weaknesses that should be fixed in cryptographic material and/or configurations. The system can also make recommendations for changes that will have the biggest impact on security reliance scores. Additional uses are also identified.