Multicomputer System for Secure Property Token Generation
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Solution Overview
Problem
Current electronic databases lack effective mechanisms to prevent malicious modification or addition of sensitive data, such as property titles, which can lead to fraudulent activities and costly corrections.
Innovation Solution
The implementation of a multicomputer system using biometric data, unique identification documents, and encrypted tokens to authenticate users and generate secure property tokens. These tokens are recorded on a distributed ledger, like a blockchain, to certify authenticity and ownership of real property, thereby inhibiting unauthorized modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional electronic databases are used to store sensitive data, then data storage and access are simple and efficient, but the data is vulnerable to unauthorized modification and fraudulent activities
Solution Approach 1:
The patent introduces a multicomputer system with distributed ledger technology as an intermediary between users and sensitive data. This mediator verifies and records all data modifications through cryptographic tokens and consensus mechanisms, preventing unauthorized changes while maintaining data accessibility. The distributed ledger acts as a trusted intermediary that ensures data integrity without requiring users to directly trust individual database administrators.
Solution Approach 2:
The patent segments the centralized database into a distributed network of multiple computers, each holding a copy of the ledger. This segmentation eliminates the single point of failure and unauthorized modification risks associated with centralized databases. Each node independently validates transactions, and the cryptographic linking of data blocks ensures that segments cannot be altered without detection, thereby improving reliability while distributing system complexity across multiple independent units.
2Reliability
If multicomputer systems with distributed ledgers are implemented, then data security and tamper-proof verification are enhanced, but system complexity and computational requirements increase
Solution Approach 1:
The patent transforms the security parameters of data storage by implementing cryptographic hashing algorithms and digital signature mechanisms. These parameter changes convert ordinary data into tamper-evident cryptographic tokens that can be verified without revealing the underlying information. The system uses cryptographic parameters such as hash functions, public-private key pairs, and consensus thresholds to achieve data integrity, thereby enhancing reliability through mathematical guarantees rather than physical security measures.
Solution Approach 2:
The patent replaces mechanical and administrative security controls with cryptographic and algorithmic mechanisms. Instead of relying on physical security, access controls, and human verification, the system uses automated cryptographic protocols, digital signatures, and consensus algorithms to ensure data integrity. This substitution reduces the need for complex human-managed security procedures while maintaining or enhancing reliability through automated, error-resistant cryptographic verification.
3Reliability
If cryptographic tokens and biometric authentication are used, then unauthorized access and modification are prevented, but processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary authentication by requiring users to register their biometric data and generate cryptographic key pairs in advance. During normal operations, the system verifies user identity by comparing biometric inputs against pre-stored templates and validating digital signatures against pre-established public keys. This preliminary setup eliminates the need for complex real-time biometric analysis and cryptographic key generation during transactions, thereby reducing authentication processing time while maintaining security.
Solution Approach 2:
The patent implements a tiered authentication approach where different levels of verification are applied based on the sensitivity and importance of the operation. For routine transactions, lightweight cryptographic verification suffices, while high-stakes operations require full biometric authentication and multi-signature confirmation. This partial application of security measures reduces unnecessary processing time for low-risk operations while maintaining strong security for critical functions, thereby optimizing the balance between authentication security and processing efficiency.
Data Source
AI summary
An aspect relates to generation of a secure token based on encrypted and/or hashed data associated with a user and/or an asset, and recording the secure token on a distributed database. An encrypted communication may be received from a user device, the communication comprising an instruction to remove security content from a third party database record, the security content stored in association with a first asset, the security content configured to inhibit recording of at least a first document type in association with the first asset. In response to the instruction, generating the security content and causing the security content to be recorded in association with the first asset.