Encryption-Based Shared Architecture for Content Classification
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Solution Overview
Problem
Conventional website classification processes are labor-intensive and lack secure encrypted identification of classifiers, making it difficult to enforce acceptable use policies (AUPs) across millions of online merchants and ensuring compliance within a consensus-building framework.
Innovation Solution
An encryption-based architecture using private and public cryptographic signature keys to generate and share audit records, allowing for secure and unique identification of website content, enabling consensus content evaluation through cryptographically signed records stored on a blockchain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional classification processes are used, then website content can be evaluated, but the process becomes labor-intensive and lacks secure identification of classifiers
Solution Approach 1:
The patent replaces manual human classification processes with an automated system that uses machine learning classifiers and cryptographic verification. The mechanical/human effort of evaluating websites is substituted with automated computational processes that maintain security through cryptographic signature keys and audit records.
Solution Approach 2:
The patent introduces cryptographic signature keys and audit records as intermediaries between the classification process and the verification process. These intermediaries provide secure identification of classifiers without requiring direct human intervention or complex manual verification procedures.
2Productivity
If manual evaluation by human classifiers is used, then content assessment can be performed, but resource consumption increases and duplication of efforts occurs
Solution Approach 1:
The patent creates cryptographic copies of classification results through audit records that can be verified without re-evaluating the content. Instead of having multiple human classifiers independently assess the same website (wasting resources), the system generates verifiable cryptographic proofs that can be checked efficiently by multiple parties.
Solution Approach 2:
The patent performs classification and generates cryptographic audit records in advance, allowing multiple entities to verify the results without repeating the resource-intensive classification process. The preliminary action of creating verifiable records eliminates the need for duplicate evaluation efforts.
3Reliability
If secure encrypted identification is implemented, then classifier identity is preserved, but the architecture requires cryptographic key management
Solution Approach 1:
The patent implements a universal cryptographic architecture where signature keys and audit records serve multiple functions: identifying classifiers, verifying their credentials, preserving their anonymity, and enabling consensus building. This multi-functional approach reduces the need for separate complex systems for each function.
Solution Approach 2:
The cryptographic system is designed to be self-verifying through mathematical properties of public-key cryptography. The audit records contain embedded verification mechanisms that allow any party to independently verify classifier identity without requiring a central authority or complex key management infrastructure.
4Reliability
If consensus building across multiple entities is enabled, then AUP compliance is ensured, but the system requires shared architecture for information sharing
Solution Approach 1:
The patent merges classification results, verification mechanisms, and consensus building into a unified cryptographic architecture. Audit records combine classification data with cryptographic proofs, allowing multiple entities to share and verify information through a single integrated system rather than separate components.
Solution Approach 2:
The patent uses cryptographic audit records as intermediaries that enable information sharing between multiple entities without requiring them to directly trust each other or share sensitive information. The audit records mediate the consensus-building process by providing verifiable evidence that can be independently assessed by all parties.
Data Source
AI summary
Encryption operations using private and public cryptographic signature keys may be used to facilitate secure and uniquely identifiable audit records relating to website content classification. Blockchain may be used to facilitate collection, storage, and sharing of encrypted audit records. Based on shared encrypted information (e.g. from the blockchain or elsewhere) a content evaluation consensus may be formed. Collections of encrypted audit records may be processed and results of the processing may also be shared via the blockchain. Subsequent operations can include sharing of the processing results.