Automated Hash Validation for Digital Signature Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital signature systems face performance issues when signing large data sets, as the time required to generate and transmit signatures is proportional to the data size, and manual approval processes are impractical for high-volume use cases, making it difficult to ensure authenticity and integrity while maintaining efficiency.
Innovation Solution
A system and method for performing hash validation, where a server validates a hash received from a client by comparing it to a hash generated from the actual data item, allowing for pre-sign or post-sign digital signature generation, and incorporating parallelization of build processes to reduce overall time and increase security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital signatures are generated for large data sets, then authentication and integrity are ensured, but the time required to generate and transmit signatures increases proportionally with data size
Solution Approach 1:
The patent extracts only the essential hash value of the data for signature generation, rather than signing the entire large data set. This extraction approach maintains authentication and integrity verification while dramatically reducing the size of data that needs to be processed and transmitted, thereby resolving the time efficiency problem.
Solution Approach 2:
The patent introduces a hash function as an intermediary between the large data set and the digital signature. The hash value serves as a mediator that captures the essential integrity information of the data, allowing signatures to be generated on this condensed representation rather than the original large data, thus reducing processing and transmission time.
2Reliability
If manual approval processes are used for high-volume scenarios, then security can be maintained, but the process becomes impractical due to time constraints and volume limitations
Solution Approach 1:
The patent implements automated hash validation where the system automatically verifies hash values against stored references without requiring manual intervention. This self-service approach maintains security through automated verification while enabling high-volume processing at speed, eliminating the bottleneck of manual approval processes.
Solution Approach 2:
The patent performs preliminary hash validation before digital signature generation. By pre-validating hash values against stored references, the system ensures security requirements are met in advance, allowing subsequent high-volume signature generation to proceed automatically without manual approval delays.
3Reliability
If hashes are validated before signature generation, then data integrity is ensured, but additional validation time is required
Solution Approach 1:
The patent performs hash validation as a preliminary action before digital signature generation. By validating hashes against stored references in advance, the system ensures data integrity is established beforehand, allowing the subsequent signature generation to proceed efficiently without requiring additional validation time during the signing process.
Data Source
AI summary
Techniques for performing hash validation are provided. In one technique, a signature request that includes a first hash and a data identifier is received from a client. In response, the data identifier is identified and sent to a data repository, data that is associated with the data identifier is received from the data repository, a second hash is generated based on the data, and a determination is made whether the second hash matches the first hash. If the two hashes match, then the first hash is sent to a cryptographic device that generates a digital signature, which is eventually transmitted to the client. Alternatively, the digital signature is transmitted to the client prior to the first hash being validated. In a related technique, a server receives the signature request and sends the data identifier to a hash validator, which interacts with the data repository and generates the second hash.


