Event Triggered Data Lockbox for Anonymous Profile Revelation
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Solution Overview
Problem
Existing data management systems lack the capability to securely and anonymously reveal personal information based on specific events or conditions, such as birthdays or loan qualifications, while maintaining user privacy and security.
Innovation Solution
An event-triggered data lockbox that securely stores personal information and allows anonymous revelation of masked or unmasked profiles upon satisfaction of predetermined conditions, using a processor to determine access and employing a Bonding Server for secure and controlled release of information, including through social networking platforms and mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personal information is stored securely in a data lockbox, then user privacy and security are improved, but the ability to reveal information based on specific events or conditions deteriorates
Solution Approach 1:
The system pre-establishes lockbox conditions and revelation rules before any data is stored. Users configure event triggers, time conditions, and revelation preferences in advance, allowing the secure system to automatically determine when and how to reveal information without requiring real-time intervention or compromising security protocols
Solution Approach 2:
The processor acts as an intermediary between the secure storage system and external revelation requests. It evaluates lockbox conditions, determines whether revelation criteria are met, and controls the revelation process, thereby maintaining security while enabling conditional information release
2Ease of operation
If personal information is fully revealed upon satisfaction of lockbox conditions, then information accessibility is improved, but user privacy control deteriorates
Solution Approach 1:
The system segments personal information into multiple portions or categories, allowing different levels of revelation based on which lockbox conditions are satisfied. Users can specify that only certain types of information be revealed under certain conditions, maintaining privacy control while improving accessibility
Solution Approach 2:
Different revelation rules and privacy controls are applied to different portions of personal information based on local conditions. Each piece of information can have its own revelation criteria and masking rules, allowing granular control over what is revealed and to whom
3Reliability
If masked profiles are sent to third parties for qualification checks, then transaction security is improved, but information completeness deteriorates
Solution Approach 1:
The system creates masked copies of personal information that contain sufficient detail for qualification checks while removing or obfuscating sensitive identifiers. These copied profiles can be safely shared with third parties without exposing complete personal information, maintaining both security and functional completeness
Data Source
AI summary
An event triggered data lockbox is capable of anonymous revelation. The personal information for a person is saved in a secure memory. A lockbox condition for access to the secure memory is determined. Upon satisfaction of the lockbox condition, anonymous revelation of a masked profile for the personal information in the secure memory is permitted. As an example, a masked profile may be sent to a bank for loan qualifications and includes a credit score or summary characteristics. The lockbox condition comprises a time or an event associated with the person. In an alternative embodiment, the personal information can be fully revealed upon satisfaction of certain lockbox conditions such as an event such qualification for a loan or as a particular birthday age or death.