Trusted User Identification via Steganographic Ledger
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Solution Overview
Problem
Current systems face challenges in providing trusted identification due to the ease with which fraudsters can obtain and create fake identities, including stolen identities and high-quality fake government identification, using tools like deepfake technology, which undermines the integrity of identity verification processes.
Innovation Solution
A computer-implemented method and system that utilizes a secure mobile application to communicate unique identifiers and image data, embedding these identifiers in images using steganography, and records them in a ledger to generate a trust score based on connections within a tree structure, preventing unauthorized access by ensuring only trustworthy users can authenticate and create accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional identity verification methods are used, then the process is simple and fast, but the system becomes vulnerable to fraud and fake identities
Solution Approach 1:
The verification system is segmented into multiple independent components: a tree data structure with nodes representing users, edges representing trust relationships, a ledger for recording verification data, and a trust score calculation mechanism. This segmentation allows the system to distribute verification logic across multiple elements rather than relying on a single complex verification process.
Solution Approach 2:
The patent introduces an intermediary trust score mechanism that mediates between identity claims and verification outcomes. Instead of direct verification, the system uses trust scores calculated from network relationships as an intermediary layer, adding reliability without proportionally increasing complexity.
2Reliability
If a trust score system based on network connections is implemented, then fraudulent access is prevented, but the verification process becomes more complex
Solution Approach 1:
The system performs preliminary actions by pre-establishing a tree data structure with nodes and edges representing trusted relationships before verification occurs. The ledger is pre-configured to record verification data, and trust scores are calculated in advance based on network connections, reducing the complexity of real-time verification.
Solution Approach 2:
The patent uses copying by creating a digital representation of trust relationships in the tree structure. Instead of verifying actual physical identities, the system copies and analyzes relationship patterns in a digital model, simplifying the verification process while maintaining reliability.
3Reliability
If unique identifiers are embedded in images using steganography, then identification security is enhanced, but the processing time and complexity increase
Solution Approach 1:
The system applies partial action by embedding unique identifiers in only critical images rather than all images. The steganography is applied selectively to images that require highest security verification, reducing overall processing time while maintaining security where most needed.
Data Source
AI summary
Provided is a method for providing trusted identification of an enrolling user. The method may include communicating a unique identifier to a sponsor device of a sponsoring user. Image data associated with an image of an enrolling user may be received from the sponsor device, and the image data may include the unique identifier. The first image data may be recorded in a ledger. An edge may be generated in a tree based on the first image data and the first unique identifier, and the edge may connect a first node associated with the sponsoring user to a second node associated with the enrolling user. A trust score for the second node may be determined based on a respective trust score of each node (including the first node) connected to the second node by a respective edge. A system and computer program product are also disclosed.


