Digital Identity Selection via Context-Aware Segmentation
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Solution Overview
Problem
Existing identity management apps lack the ability to adapt digital identities based on context and generate customized identities for secondary users, leading to unnecessary exposure of sensitive information and security concerns.
Innovation Solution
A digital identity selection system that detects context-specific events, determines an optimal digital identity using a multimodal engine, and generates bespoke identities tailored to event criteria, ensuring secure sharing and alignment with user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional identity management apps are used, then users can manage digital identities across platforms, but users cannot adapt identities to specific contexts and must provide unnecessary sensitive information
Solution Approach 1:
The system segments a user's master digital identity into multiple context-specific digital identities. Each context-specific identity contains only the necessary information for a particular use case (e.g., work, personal, shopping), preventing unnecessary sensitive information from being exposed across all platforms. This resolves the contradiction by enabling adaptability through segmentation while reducing information loss through selective disclosure.
Solution Approach 2:
The system dynamically generates and selects digital identities based on real-time context detection. When a user accesses a platform, the system detects the context (e.g., location, device, purpose) and dynamically selects or generates the appropriate context-specific identity. This dynamic adaptation allows the system to respond to changing circumstances, providing versatility while minimizing unnecessary information exposure in each specific context.
2Adaptability or versatility
If traditional identity management apps are used, then users have control over their digital identities, but users cannot generate customized identities for secondary users
Solution Approach 1:
The system performs preliminary action by pre-generating and pre-configuring context-specific digital identities before they are needed. Users can prepare customized identities for secondary users in advance, defining access permissions and information scopes. When a secondary user needs access, the system retrieves the pre-prepared customized identity, eliminating the need for manual creation and simplifying the operation while maintaining versatility.
Solution Approach 2:
The system enables self-service by allowing users to automatically generate and manage customized digital identities for secondary users without manual intervention. Users can define access rules and information scopes, and the system automatically creates and distributes the customized identities to secondary users. This automated self-service approach provides versatility in customization while significantly improving ease of operation.
3Reliability
If a single static digital identity is used, then implementation is simple, but privacy and security are compromised due to unnecessary information disclosure
Solution Approach 1:
The system segments the digital identity into multiple context-specific identities, each containing only the necessary information for its intended use. This segmentation approach improves reliability by minimizing the information exposed in each context, thereby enhancing privacy and security. While it increases system complexity, the benefits to security and privacy make this trade-off acceptable and necessary.
Solution Approach 2:
The system introduces a centralized distributed ledger as an intermediary between the user and various digital platforms. This intermediary manages the complex task of generating, selecting, and distributing context-specific identities, shielding the user from the underlying complexity. The distributed ledger provides a secure and transparent mechanism for managing multiple identities, improving reliability while containing the complexity within a structured framework.
4Productivity
If manual identity selection is used, then user control is maintained, but time-consuming and error-prone processes occur
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor user behavior, context changes, and platform requirements. Based on this feedback, the system automatically adjusts and optimizes digital identity selection. The feedback loop enables the system to learn from user interactions and improve its automatic selection accuracy over time, increasing productivity while maintaining user control through transparent and explainable automation.
Solution Approach 2:
The system performs self-service by automatically detecting context, selecting appropriate digital identities, and presenting them to users for confirmation. This automated self-service process significantly increases productivity by eliminating manual selection tasks. The system maintains user control by presenting options for review and approval, combining automation with user oversight to achieve both high productivity and user agency.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for digital identity selection. An example method includes detecting a digital identity selection event for a user, wherein the digital identity selection event is associated with an event attribute set comprising one or more event attributes, and an event criteria set comprising one or more event criteria. The example method further includes determining, based on the event attribute set, a master digital identity associated with the user, wherein the master digital identity comprises one or more user digital identities. The example method further includes generating, based on the master digital identity, one or more bespoke digital identities. The example method further includes selecting, using a digital identity selection model, an optimal digital identity, wherein the optimal digital identity satisfies the one or more event criteria of the event criteria set, and outputting the optimal digital identity.