Anonymity Maintenance in Gaming via Counter-Party Filtering
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Solution Overview
Problem
Financial entities and gaming providers face challenges in filtering out unprofitable counter-parties using arbitrage strategies while maintaining anonymity, as existing systems struggle to differentiate between profitable and unprofitable anonymous traders or gamers without revealing their true identities.
Innovation Solution
Implementing methods and systems that assign anonymous identifiers to users who wish to remain anonymous, allowing entities to filter out unprofitable counter-parties by tracking and classifying them based on trade or game history data, and controlling interactions through tier-based rules that dictate transaction levels and visibility in market or gaming interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If anonymous identifiers are assigned to users to maintain anonymity, then user anonymity is preserved, but the ability to filter unprofitable counter-parties deteriorates
Solution Approach 1:
The system segments user identification into two distinct layers: anonymous identifiers (e.g., user IDs, avatars) that are visible to other users during interactions, and real identities that are stored separately in a database and accessible only to the system administrator. This segmentation allows the system to maintain user anonymity in the gaming environment while enabling administrators to identify and filter unprofitable counter-parties based on their real identities.
2Measurement precision
If trade or game history data is tracked to classify counter-parties, then the ability to differentiate profitable and unprofitable traders improves, but system complexity increases
Solution Approach 1:
The system performs preliminary classification of counter-parties by analyzing their trade or game history data before actual trading or gaming interactions occur. User profiles are pre-populated with classification information (e.g., profitable, unprofitable, arbitrageur) based on historical performance metrics. This preliminary action enables users to make informed decisions about whom to interact with without requiring complex real-time analysis during transactions.
Solution Approach 2:
The system introduces an intermediary classification mechanism that mediates between raw trade/game history data and user decision-making. Instead of directly exposing complex historical data to users, the system processes this data through an intermediary layer that generates simplified classification labels and reputation scores. This intermediary layer reduces system complexity by pre-processing and summarizing historical data into actionable insights.
3Productivity
If tier-based rules are implemented to control interactions, then system control over profitable interactions improves, but the difficulty of operation increases
Solution Approach 1:
The system implements tier-based rules that apply partial control measures rather than comprehensive restrictions. Instead of blocking all interactions with classified users, the system applies selective filtering based on user preferences and interaction types. For example, users can choose to interact with or block specific tiers of counter-parties, and the system enforces these preferences on a per-interaction basis. This partial action approach maintains ease of operation while still improving productivity by facilitating profitable interactions.
Data Source
AI summary
The present application provides methods and systems for maintaining anonymity in a gaming environment that include or perform the step or steps of receiving a user preference from a first user for maintaining an identity of the first user anonymous during at least one game; tracking game play involving the first user and at least one other user; receiving a request from the at least one other user to initiate at least one game with the first user; retrieving game history data specific to the first user and the at least one other user; retrieving at least one rule for controlling interactions between anonymous users and the at least one other user in the gaming environment; and disposing the request to initiate the at least one game with the first user based at least on the game history data and the at least one rule for controlling interactions between anonymous users and the at least one other user. The game may be a casino-type game, such as poker, blackjack, craps, roulette, and baccarat.