Data-Centric Trust Mediation for Event-Specific Security Models
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Solution Overview
Problem
Current systems for decision-making in business and other situations lack the ability to effectively handle and present alternative points of view, particularly in data analysis and simulation, as they do not readily facilitate the presentation of various potential structures or organizations reflecting different perspectives.
Innovation Solution
A method is introduced that generates a mediated covenant of association among various entities, including user-type, process-type, and data-type entities, using semantically interconnected topical capabilities to establish trust and construct a security model that reflects event-specific impacts, enabling improved handling of alternative points of view through informatic convolution and semantic relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a multi-layer computer security system with mediated covenants and informatic convolution is implemented, then the ability to handle alternative points of view and model decision-making scenarios is improved, but the device complexity and computational overhead increase
Solution Approach 1:
The system segments security and trust verification into multiple layers: entity-level authentication, covenant-level trust establishment, and event-level access control. Each layer operates independently with its own rules and data structures, allowing the system to handle complex alternative viewpoints without overwhelming complexity at any single level.
Solution Approach 2:
The patent introduces mediated covenants as intermediary structures that establish trust relationships between entities without requiring direct complex interactions. These covenants act as intermediaries that encode trust properties and semantic relationships, simplifying the verification process while maintaining the ability to handle diverse alternative viewpoints.
2Measurement precision
If event-specific trust models with semantically interconnected topical capabilities are generated, then the precision of decision-making analysis is improved, but the computational resources and time required increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing mediated covenants and encoding trust relationships before actual decision-making events occur. Topical capabilities and semantic relationships are pre-processed and stored in the covenant structures, so that during event evaluation, the system can quickly retrieve and apply pre-computed trust metrics without performing complex computations in real-time.
Solution Approach 2:
The patent transforms abstract trust concepts into quantifiable parameters through informatic convolution, which computes event-specific trust models by combining covenant properties with event characteristics. This parameter transformation enables precise measurement of trust levels while using efficient mathematical operations that balance precision with computational feasibility.
3Reliability
If a comprehensive security model with nodes representing encoded aspects of resources is constructed, then the reliability of security enforcement is improved, but the device complexity and difficulty of operation increase
Solution Approach 1:
The security model uses universal node structures that can represent multiple aspects of resources through standardized properties and relationships. Each node follows the same template with configurable attributes, allowing the system to enforce diverse security policies using a single unified model structure. This universality maintains reliability while simplifying operation through consistent patterns.
Solution Approach 2:
The system implements self-service through automated covenant validation and trust verification mechanisms. The mediated covenants contain embedded logic that automatically verifies trust relationships and enforces access controls without requiring manual intervention. The event-specific trust models self-evaluate against the security model, providing reliable enforcement while reducing operational complexity.
Data Source
AI summary
Establishing event-specific trust through data-centric mediation by: generating a mediated covenant of association as an instance of trust among a plurality of entities at an association layer of a multi-layer computer security system; constructing a security model enforceable by the multi-layer computer security system that expresses node-node semantic relationships as links among nodes of the model representing protectable computing resources; and producing an event-specific security model via informatic convolution of elements of the covenant with elements of the security model, so that the event-specific security model is operable to constrain a computing action among computing resources represented by the plurality of entities.