Data Stream Verification Chains for Signed Segment Integrity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods struggle to reliably verify the authenticity of complex data streams, particularly when segments are concatenated or modified, leading to challenges in ensuring trustworthiness and preventing media tampering.
Innovation Solution
Incorporating indications within the data stream to identify the first or last segment of a signed subsequence, allowing for the formation of verification strings that can be checked against digital signatures, ensuring trustworthiness by recognizing the start or end of signed subsequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital signatures are recalculated for modified or concatenated data streams, then verification reliability is improved, but processing complexity and time increase
Solution Approach 1:
The data stream is divided into segments with identification information indicating whether each segment is the first or last of a signed subsequence. This segmentation allows the verification process to handle concatenated streams efficiently by recognizing boundaries without recalculating entire signatures, thus maintaining reliability while reducing processing complexity.
Solution Approach 2:
Identification information about segment boundaries (first/last segment flags) is embedded in advance during the encoding phase. This preliminary action enables the decoder to perform efficient verification by knowing where signed subsequences begin and end, avoiding the need for complex runtime analysis or signature recalculation.
2Measurement precision
If indication information is added to identify first and last segments, then verification accuracy is improved, but data stream complexity increases
Solution Approach 1:
Verification-critical information (segment boundary identification) is extracted and placed in dedicated fields within the data stream structure. This separation allows the verification process to access only necessary information without processing the entire data stream, improving accuracy while managing complexity through selective extraction.
Solution Approach 2:
Different parts of the data stream have different functions: payload data carries content while specific fields carry verification metadata. This local differentiation allows the system to maintain simple verification logic in critical areas while keeping the overall data stream structure manageable, as only specific locations contain verification-relevant information.
3Reliability
If hash values from preceding segments are included in verification, then temporal consistency is improved, but verification complexity increases
Solution Approach 1:
The verification process dynamically adapts based on segment boundary identification. When a first segment is detected, verification starts fresh; when continuing segments are detected, hash chaining is applied. This dynamic behavior maintains temporal consistency through hash linking while avoiding unnecessary complexity in cases where segments are independently signed.
Solution Approach 2:
Hash values serve as intermediaries between consecutive segments, providing a simple mathematical link that ensures temporal consistency without requiring complex verification logic. The hash intermediary captures the essential relationship between segments while keeping the verification process computationally efficient.
Data Source
AI summary
Apparatuses and methods for checking a data stream on trustworthiness are described. According to an aspect, the data stream indicates, whether a segment is a first segment or whether a segment is a last segment of assigned sequence of segments. According to another aspect, an apparatus for decoding a data stream is configured for deriving, from the data stream, whether a verification chain within a temporal sequence of segments is interrupted at a segment.