Blacklist Enforcement for Service Migration
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Solution Overview
Problem
Entities face challenges in efficiently migrating users from legacy services to new services due to user resistance, leading to service interruptions and strained user-entity relations, as users often resist leaving familiar interfaces and features.
Innovation Solution
A system utilizing a decision management platform (DMP) that detects user interactions with new services and appends users to a black list, inhibiting access to legacy or alternate services, thereby encouraging migration to new services while restricting return to legacy services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users are allowed continued access to legacy services during migration, then user resistance decreases and migration pace slows, but service interruptions increase and user-entity relations deteriorate
Solution Approach 1:
The system proactively detects when a user first accesses a new service and automatically adds them to a blacklist before they can return to legacy services. This preliminary action prevents future access issues and eliminates the need for continuous monitoring or user education, resolving the contradiction by enabling smooth transition without allowing return visits that would cause service interruptions
Solution Approach 2:
The system implements automatic feedback loops where access patterns are monitored in real-time. When a user accesses a new service, the system immediately responds by blacklisting them from legacy services. This automated feedback mechanism eliminates manual intervention and ensures consistent enforcement of migration policies, improving both user acceptance and migration efficiency
2Reliability
If users are restricted from legacy services after using new services, then migration completeness improves, but system complexity increases due to blacklisting mechanisms
Solution Approach 1:
The system extracts the migration enforcement logic into a separate, dedicated blacklist mechanism. Rather than embedding complex access control rules throughout the legacy service infrastructure, the system creates a standalone blacklist that is checked independently. This extraction simplifies the overall system architecture while ensuring reliable migration completion
Solution Approach 2:
The blacklist acts as an intermediary layer between users and legacy services. Rather than implementing complex permission checks at every access point, the system uses the blacklist as a simple mediator that either permits or blocks access based on predefined criteria. This intermediary approach reduces system complexity while maintaining high migration completeness
3Measurement precision
If monitoring is implemented to detect user service access, then access control accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary detection at the point of first new service access. Rather than continuously monitoring all subsequent interactions, the system captures the initial access event and immediately takes action by blacklisting the user. This preliminary detection approach maintains high accuracy while minimizing processing time for subsequent access attempts
Solution Approach 2:
The system creates a simplified copy of the access control decision in the form of a blacklist entry. Instead of performing complex real-time analysis for every access request, the system makes the decision once based on new service access and stores it as a blacklist record. This copying mechanism maintains detection accuracy while dramatically reducing processing time for subsequent requests
Data Source
AI summary
Systems and methods are provided for migration of users to one or more services offered by a service host. An exemplary method includes detecting, by a computing device associated with the service host, a first dispute message associated with a user and transmitted from a dispute service of the service host to a clearing service of the service host, and appending the user to a black list in response to the first dispute message. The method also includes detecting, by the computing device, a second dispute message associated with the user and transmitted to the clearing service, determining whether the user is included in the black list, and rejecting the second dispute message when the user is included in the black list, thereby inhibiting the user from transmitting the second dispute message to the clearing service outside of the dispute service.