Secure-Core Mobile Endpoints for Continuous KYC Transaction Authentication
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Solution Overview
Problem
Current identification methods, particularly government IDs and AI-generated fake IDs, are inadequate for robust identity verification in the digital economy, especially for remote transactions, lacking biometrics and being vulnerable to fraud.
Innovation Solution
A hybrid system using secure-core silicon mobile end-points, integrating SIMs, HSMs, and cloud-based blockchain technology for continuous authentication and transaction verification, leveraging radio frequency data and environmental sensors to enhance KYC/KYT processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If government IDs and traditional identification methods are used, then the system is simple and easy to implement, but the security and reliability of identity verification deteriorates due to vulnerability to fake IDs and lack of biometrics
Solution Approach 1:
The patent combines multiple identification methods (government IDs, biometric data, device fingerprints, behavioral patterns) into a unified hybrid verification system. This merging of different verification approaches increases reliability by cross-validating multiple data sources while maintaining a cohesive system architecture that manages complexity through integration.
Solution Approach 2:
The system employs a universal verification framework that can handle multiple types of identification data (static IDs, dynamic biometrics, device-based fingerprints, behavioral patterns) through a single integrated platform. This multi-functionality allows the system to adapt to different verification scenarios while maintaining high security standards.
2Reliability
If biometric verification and multiple authentication factors are implemented, then the security and anti-fraud capability improves, but the complexity of the verification process and system requirements worsens
Solution Approach 1:
The authentication process is segmented into distinct verification layers: device fingerprinting, biometric verification, behavioral pattern analysis, and transaction monitoring. Each layer operates independently but contributes to the overall security assessment, making the complex verification process manageable through modular architecture.
Solution Approach 2:
The system introduces an intermediary verification layer that coordinates between different authentication methods and the final verification decision. This intermediary layer processes and cross-validates multiple authentication factors, reducing the complexity burden on individual components while maintaining high fraud detection capability.
3Reliability
If continuous authentication and real-time verification are implemented, then the security and transaction integrity improves, but the processing time and system response speed worsens
Solution Approach 1:
The system performs preliminary authentication actions by establishing device fingerprints, verifying biometric templates, and analyzing behavioral patterns before the actual transaction occurs. This preliminary verification builds a trust profile that enables faster real-time authentication decisions during actual transactions.
Solution Approach 2:
The authentication system operates continuously, maintaining active verification states through ongoing monitoring of device behavior, transaction patterns, and security conditions. This continuous action ensures that verification is always current and ready, reducing response time during actual transactions while maintaining high integrity standards.
Data Source
AI summary
This invention introduces a novel hybrid system that integrates Mobile Network (MN), Internet Cloud (IC), and Node Consensus (NC) components. The system leverages secure-core silicon mobile end-points to monitor mobile network data traffic, device environmental probes, and authorized user input. By analyzing mobile radio frequency data-packet patterns and capturing users' physical environment and behavior, the system creates a unique, non-duplicable pattern. This pattern is then used to sign and authorize on-chain transactions, enabling secure execution of smart legal contracts and the storage of immutable data. The software and hardware components undergo authentication before being stored on-chain.