Cross-Platform Gaming Identity Safeguarding via Data Bridge
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Solution Overview
Problem
Online gaming platforms face challenges in securely and confidentially identifying users across multiple platforms, due to differences in identification information formats and the need to monitor and analyze cross-platform gaming activity for regulatory and public policy purposes.
Innovation Solution
A method and system for providing multi-factor cross-platform transaction identification, which involves a data bridge communicating with multiple gaming platforms and a data analysis subsystem. The system safeguards user identity information using security strings, hashing, and obfuscation to create a unique identifier, enabling secure and confidential analysis of gaming behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user identification information is transmitted across multiple gaming platforms, then cross-platform monitoring and analysis capability is improved, but user security and confidentiality are worsened
Solution Approach 1:
A de-identification system acts as an intermediary between gaming platforms and data analysts. The system receives identification information from multiple gaming platforms, removes personally identifiable information (PII) through hashing and tokenization, and provides de-identified data to analysts. This mediator approach enables cross-platform monitoring while protecting user confidentiality and security.
Solution Approach 2:
The system extracts and removes personally identifiable information from gaming user data through de-identification processes. By taking out PII elements such as names, addresses, and account numbers, and replacing them with anonymized tokens, the system enables cross-platform analysis while maintaining user security and confidentiality.
2Productivity
If identification information formats are standardized across platforms, then data analysis efficiency is improved, but platform independence and flexibility are worsened
Solution Approach 1:
The de-identification system transforms identification information by changing its parameters through hashing algorithms and tokenization. Different input formats from various gaming platforms are converted into standardized de-identified output formats, enabling efficient cross-platform analysis while preserving platform independence through format-agnostic processing.
Data Source
AI summary
A method for providing multi-factor cross platform transaction identification. The method includes receiving, via a data bridge, gaming session data from at least one gaming platform of the plurality of gaming platforms, the gaming session data including identity information of a user associated with the gaming session data, transmitting, via a data analysis subsystem, a first security string to the data bridge, safeguarding, via the data bridge, the identity information of the gaming session data with the first security string to create safeguarded identity information, transmitting, via the data bridge, the safeguarded identity information and the gaming session data to the data analysis subsystem, and further safeguarding, via the data analysis subsystem, the safeguarded identity information of the gaming session data with a second security string to create a unique identifier.