Authentication System Using Combined User and Hardware Profiles
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Solution Overview
Problem
Current security systems are inadequate in discerning an individual's identity, leading to insufficient prevention of identity fraud, with over 9 million adults affected annually in the US, resulting in significant merchant losses.
Innovation Solution
A method and system that create a combined electronic identification by linking user information and hardware profiles, using a device with a processor, memory, and wireless communication, which includes user-generated data such as contact information, biometric data, and device-specific details, and involves salting and hashing to enhance security, allowing transactions only if the linked profiles match within specified tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current security systems are used, then device operation is simple, but identity fraud prevention is insufficient
Solution Approach 1:
The patent combines multiple identification elements (user information, hardware profile, device characteristics) into a single combined electronic identification. This merging of disparate data sources creates a more reliable fraud prevention mechanism while maintaining operational simplicity through unified authentication.
Solution Approach 2:
The security system uses composite identification data structures that combine user-provided information, hardware-derived profiles, and device-specific characteristics. This composite approach creates a robust identification system that is resistant to fraud while managing complexity through structured data integration.
2Measurement precision
If user information and hardware profile are linked, then identity discrimination accuracy is improved, but data processing complexity increases
Solution Approach 1:
The identification system segments user identity verification into distinct components: user information collection, hardware profile generation, and combined identification creation. This segmentation improves measurement precision by systematically processing each element while managing data processing complexity through modular architecture.
Solution Approach 2:
The system transforms raw user information and hardware data into standardized parameters suitable for comparison and verification. By changing the parameters of stored data into comparable formats, the system achieves high identity discrimination accuracy while simplifying the processing of complex datasets.
3Reliability
If salting and hashing are applied, then security is enhanced, but computational overhead increases
Solution Approach 1:
The system applies salting and hashing to user information and hardware profiles during the initial identification creation process, before actual authentication occurs. This preliminary cryptographic processing enhances data security while reducing computational overhead during subsequent authentication operations, as the heavy cryptographic work is performed once during setup.
Data Source
AI summary
A system for creating authenticating a user from user information, hardware profile, and combinations thereof, where the hardware profile includes user generated data stored on an electronic device.