Scrambled Identifier Generation for Long-Term Collision Avoidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing identifier generation methods face challenges in ensuring uniqueness and longevity, leading to collisions and increased memory and processing requirements due to the need for database checks and potential exploitation risks.
Innovation Solution
A system that generates identifiers using a parameter locking operation, incorporating a locked timestamp and compute region parameter, along with a counter value, and applies a scrambling technique to ensure uniqueness and mitigate risks of imitation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hashing algorithms are used to generate identifiers, then identifier generation is simple and fast, but collisions occur and uniqueness cannot be guaranteed for prolonged periods
Solution Approach 1:
The identifier generation process is segmented into multiple independent components: compute region parameter (identifying the generating system), version parameter (tracking algorithm iterations), timestamp parameter (ensuring temporal uniqueness), counter value parameter (ensuring sequential uniqueness), and action parameter (indicating identifier purpose). Each segment contributes to overall uniqueness, allowing fast generation without database checks while maintaining reliability through structured composition of unique elements.
2Reliability
If database checks are performed to ensure identifier uniqueness, then collision likelihood is reduced, but memory requirements and processing time increase
Solution Approach 1:
Uniqueness is ensured through preliminary structuring of the identifier components rather than through preliminary database checks. The compute region parameter, version parameter, timestamp parameter, and counter value parameter are pre-configured to mathematically guarantee uniqueness without requiring prior database queries. This eliminates the need for memory-intensive database storage and processing while maintaining high reliability.
3Productivity
If identifiers are generated without parameter locking, then generation speed is high, but exploitation risks increase due to predictability
Solution Approach 1:
A scrambling technique acts as an intermediary between the structured identifier components and the final output identifier. The scrambling process transforms the deterministic components (compute region parameter, version parameter, timestamp parameter, counter value parameter) into an unpredictable format, maintaining high generation speed while eliminating exploitation risks. The scrambling function serves as a mediator that preserves uniqueness while adding security.
Data Source
AI summary
Some implementations described herein relate to a system for generating identifiers. The system receives, from a device, a request to generate a plurality of identifiers. The system determines, based on receiving the request and by performing a parameter locking operation, a compute region parameter associated and a timestamp parameter. The system generates, based on the compute region parameter and the timestamp parameter, a set of one or more identifiers of the plurality of identifiers. Respective portions of each identifier, of the set of one or more identifiers, may indicate the compute region parameter, a version parameter associated with the parameter locking operation, the timestamp parameter, a counter value parameter, and an action parameter. The system processes, using a scrambling technique, the set of one or more identifiers and provides the set of one or more identifiers to the device.