Parallel Tagging System with Identity Access Control
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Solution Overview
Problem
Current tagging systems in data centers lack security and integrity features, allowing unauthorized access and changes to tags, which limits their effectiveness in managing and securing computing resources and workflows.
Innovation Solution
A parallel tagging system with identity and access control, version control, and logging of changes is implemented to authenticate and authorize users, ensuring only authorized personnel can view or edit tags, and providing cryptographic binding for integrity and non-repudiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a parallel tagging system with identity and access control is implemented, then security and integrity of tags are improved, but device complexity increases
Solution Approach 1:
The tagging system is divided into multiple independent components: identity verification module, access control module, version control module, logging module, and cryptographic binding module. Each component handles a specific security function, allowing the system to achieve comprehensive security while maintaining modularity and manageable complexity.
Solution Approach 2:
Identity verification and access authorization are performed before any tag operations. The system pre-establishes user credentials, defines access policies, and validates permissions before allowing tag viewing or editing, preventing unauthorized access before it can occur.
2Reliability
If version control and logging of changes are implemented, then reliability and traceability are improved, but loss of time increases
Solution Approach 1:
The version control and logging system operates automatically without requiring manual intervention. Change logs are self-generated whenever tags are modified, version numbers are automatically incremented, and the system maintains its own audit trail, reducing the time burden on users while ensuring complete traceability.
3Reliability
If cryptographic binding is implemented, then integrity and non-repudiation are improved, but use of energy increases
Solution Approach 1:
Cryptographic binding is applied selectively to critical tag operations and data elements rather than all operations uniformly. The system uses cryptographic validation for authentication and integrity-critical functions while employing lighter verification methods for routine operations, balancing security requirements with energy consumption.
Data Source
AI summary
Users are authorized to access tagged metadata in a provider network. A revision control and binding mechanism may be applied to tagged metadata that is added or modified by the user. A recommendation pertaining to security and compliance for the computing resource may be determined based on an analysis of the computing resource, scoring criteria, and data pertaining to customer and system data.


