Directory Service Class of Service Management via Power of Two Model
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Solution Overview
Problem
Current systems face challenges in managing and maintaining accurate class of service attributes for users and resources in directory services, leading to potential mismatches and unauthorized access rights, especially as roles and resources within an organization change over time.
Innovation Solution
A system that utilizes a processor to access classification information from reference databases, applies a power of two classification model to create and manage class of service attributes, and detects mismatches by performing mathematical operations on numerical values, allowing for automated reporting and categorization across multiple platforms like Active Directory and Network Information Services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual management of class of service attributes is used, then accuracy can be maintained, but time consumption and labor requirements increase
Solution Approach 1:
The system automatically manages class of service attributes by retrieving classification information from reference databases and applying power of two classification models without requiring manual intervention. The processor autonomously creates, updates, and monitors class of service attributes, eliminating the need for manual management while maintaining accuracy.
Solution Approach 2:
The system continuously monitors class of service attributes and compares them against classification information from reference databases. When mismatches are detected through mathematical operations on numerical values, the system generates reports and can automatically correct attributes, creating a feedback loop that maintains accuracy without manual oversight.
2Productivity
If automated classification systems are implemented, then time efficiency improves, but complexity of the system increases
Solution Approach 1:
The system transforms complex classification data into simplified numerical parameters using power of two classification models. By converting classification information into numerical values that can be processed through mathematical operations, the system reduces computational complexity while maintaining automated classification capabilities.
Solution Approach 2:
The system introduces reference databases as intermediaries that store classification information in a standardized format. These databases act as mediators between the raw data and the classification processing logic, simplifying the overall system architecture by centralizing classification rules and data sources.
3Reliability
If comprehensive monitoring of access rights is implemented, then security improves, but computational resources required increase
Solution Approach 1:
The system performs partial monitoring by focusing computational resources on detecting mismatches between expected and actual class of service attributes rather than continuously validating all access rights. By using mathematical operations on numerical values to identify anomalies, the system achieves adequate security monitoring with reduced computational overhead.
Data Source
AI summary
According to one embodiment of the present invention, classification of objects in a directory service may be managed. An object is identified in a directory service. Classification information associated with the object is received from a reference database. Using a processor, a rule that specifies a value that corresponds to the classification information is accessed. The accessed value is based on a power of two classification model. Using the processor, the class of service attribute is created using the value. The class of service attribute is associated with the object listed in the directory service using the processor.