Trustworthy Auditor for Cloud Data Verification
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Solution Overview
Problem
Current solutions fail to ensure the correctness and facticity of data processing in cloud environments, particularly where cloud service providers are not fully trusted, which can lead to degraded service quality due to potential malicious manipulation of IoT data.
Innovation Solution
A method and apparatus for verifying the correctness of data processing results by obtaining and processing the data and corresponding algorithm at a trustworthy party, comparing the results, and ensuring the facticity of data sources through historical and statistical analysis, with optional encryption and access rights verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data processing is outsourced to cloud service providers, then productivity and service quality are improved, but reliability and security deteriorate due to potential malicious manipulation by untrusted parties
Solution Approach 1:
The patent introduces a trustworthy third party (auditor) as an intermediary between the cloud service provider and the data owner. This auditor verifies the correctness of data processing by independently executing the same algorithm on the same input data and comparing results, thereby resolving the trust issue without compromising processing efficiency
Solution Approach 2:
The system implements a feedback mechanism where the auditor provides verification results back to the requesting party. This feedback loop ensures that any malicious manipulation or errors in data processing are detected and reported, maintaining reliability while allowing continuous high-speed processing
2Reliability
If verification mechanisms are implemented to ensure data processing correctness, then reliability is improved, but device complexity and computation cost increase
Solution Approach 1:
The verification mechanism works by copying the exact same algorithm and input data to the auditor, who then independently processes the data. This copying approach simplifies the verification system design while ensuring reliability, as no complex verification algorithms are needed - just identical replication of the original processing
Solution Approach 2:
The auditor serves multiple functions: verifying data processing correctness, detecting malicious manipulation, and providing audit trails. This multi-functionality reduces overall system complexity by consolidating verification, security, and compliance functions into a single universal component
3Reliability
If encryption is used to preserve privacy, then security is improved, but measurement precision and verification difficulty worsen
Solution Approach 1:
The system performs preliminary actions by having the cloud service provider generate cryptographic proofs (such as homomorphic encryption proofs or zero-knowledge proofs) along with the processed data. These preliminary cryptographic validations enable verification of encrypted data without decryption, maintaining both privacy and verification accuracy
Solution Approach 2:
The patent replaces direct mechanical comparison of plaintext data with cryptographic verification mechanisms. Instead of decrypting and comparing data directly, the system uses mathematical proofs and cryptographic protocols to verify correctness, substituting physical/mechanical verification with algebraic/cryptographic verification that preserves privacy
Data Source
AI summary
A method, comprising: obtaining, at a trustworthy party, a data processing result from a requesting party or a processing party in response to receiving a request for verifying correctness of the data processing result from the requesting party, wherein the data processing result is obtained by the requesting party from the processing party; obtaining, at a trustworthy party, the data used to getting the data processing result and a corresponding algorithm from the processing party, wherein the processing party uses the corresponding algorithm to process the data and gets the data processing result; processing, at the trustworthy party, the obtained data with the corresponding algorithm and comparing the processed result with the received data processing result, and if the two results are the same, the data processing result verified by the trustworthy party is correct.