Token-Based Access Control System for Trust Level Determination
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Solution Overview
Problem
Current security systems face inefficiencies in determining trust levels and making access decisions due to the complexity of processing individual attributes, which can lead to slower and less accurate access control processes.
Innovation Solution
A token-based system that stores and processes token-based rules and resource tokens to assess access values, allowing for faster and more efficient determination of trust levels by examining tokens that represent multiple attributes, thereby streamlining access decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual attributes are processed to determine trust levels, then measurement precision is improved, but processing time increases and productivity decreases
Solution Approach 1:
Multiple individual attributes are merged into a single token that represents a composite trust level. The security system processes this consolidated token instead of evaluating each attribute separately, thereby maintaining measurement precision while significantly improving processing speed and productivity.
Solution Approach 2:
The complex attribute evaluation process is segmented into two stages: (1) pre-processing stage where multiple attributes are aggregated into tokens during off-peak times, and (2) access decision stage where pre-computed tokens are quickly evaluated. This segmentation allows detailed analysis to occur without impacting real-time access decision speed.
2Reliability
If multiple attributes are evaluated individually, then access control accuracy is improved, but device complexity increases
Solution Approach 1:
Tokens serve as intermediary objects that encapsulate complex attribute evaluations. Instead of the security system directly processing multiple individual attributes, it interacts with pre-computed tokens that mediate between the attributes and the access decision logic, thereby reducing system complexity while maintaining accuracy.
Solution Approach 2:
Complex attribute evaluations are performed in advance and stored as tokens before access decisions are needed. This preliminary action prepares the data structure ahead of time, reducing the complexity of real-time access control processing while preserving the accuracy benefits of multi-attribute evaluation.
3Measurement precision
If detailed attribute processing is performed, then access decision accuracy is improved, but processing time increases
Solution Approach 1:
The system performs detailed attribute processing in advance by computing tokens that encapsulate multi-attribute evaluations. When access decisions are required, the system uses these pre-computed tokens, thereby maintaining high accuracy while minimizing the time loss associated with detailed processing.
Solution Approach 2:
Multiple attribute evaluations are merged into single token objects that can be processed as unified units. This combining approach preserves the accuracy benefits of detailed attribute analysis while reducing the overall processing time by eliminating redundant evaluation steps.
Data Source
AI summary
According to one embodiment, an apparatus may receive a first resource token indicating that access to a resource has been requested. The apparatus may determine the value of an access value associated with at least one resource token in response to the determination that the plurality of resource tokens comprises the at least one resource token. The apparatus may determine that the value of the access value is insufficient to grant access to the resource. The apparatus may determine, in response to the determination that the value of the access value is insufficient to grant access to the resource, that access to the resource should be denied.