Data Provenance Architecture for Information Assurance Verification
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Solution Overview
Problem
Conventional communication devices lack implementation of information assurance attributes such as authenticity, confidentiality, integrity, non-repudiation, and availability through data provenance, which are crucial for secure data transmission and management.
Innovation Solution
A method and apparatus that utilize a data provenance architecture to verify message integrity by examining data provenance records for discrepancies, calculating hash values, and verifying timestamps and information assurance attributes, thereby providing a degree of trust for secure message transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data provenance architecture is implemented to verify information assurance attributes, then reliability and security of data transmission are improved, but device complexity and processing requirements increase
Solution Approach 1:
The data provenance verification process is divided into separate examination steps, each verifying a specific information assurance attribute (authenticity, confidentiality, integrity, non-repudiation, availability). This segmentation allows the complex verification process to be managed through modular checks of individual data provenance records, reducing the complexity burden on any single system component while maintaining comprehensive security verification.
2Measurement precision
If multiple verification checks are performed on data provenance records, then measurement precision of information assurance attributes is improved, but loss of time increases
Solution Approach 1:
Data provenance records are created and populated with verification information in advance, before the actual data transmission or processing occurs. This preliminary action includes pre-calculating hash values, pre-attaching digital signatures, and pre-recording timestamps. When verification is needed, the system can quickly check these pre-prepared records rather than performing all verification calculations in real-time, significantly reducing verification time while maintaining high measurement precision.
Data Source
AI summary
A method and apparatus that provides information assurance attributes through a data providence architecture is disclosed. The method may include receiving a message having a data provenance wrapper, examining each data provenance record of the message and any attachments for discrepancies, identifying any discrepancies in the examination of each data provenance record of the message and any attachments; calculating a degree of trust based on any discrepancies identified in the examination of each data provenance record of the message and any attachments, and outputting the degree of trust to the user.