Telemetry File Hash Conflict Detection
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Solution Overview
Problem
Current crash telemetry systems face challenges in accurately identifying and routing crash data to the correct software vendor, especially when multiple vendors upload information about the same executable file, leading to conflicts and misidentification.
Innovation Solution
A server computes a hash identifier based on file metadata, such as name, version, and link date, using a hash function like SHA-1, to uniquely identify executable files and prevent conflicts by transforming input data into a consistent format, ensuring accurate matching and routing of crash data to the appropriate vendor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple vendors upload information about the same executable file, then the system can collect more crash data, but conflicts and misidentification occur leading to inaccurate routing
Solution Approach 1:
The patent transforms the file identification approach by computing a hash identifier from file metadata parameters (name, version, link date) rather than relying on direct vendor-provided identifiers. This transformation enables accurate matching of the same executable file across multiple vendors by converting variable metadata into a consistent hash value, resolving the contradiction between collecting data from multiple vendors and maintaining identification accuracy
Solution Approach 2:
The hash identifier acts as an intermediary element between the diverse file metadata from multiple vendors and the crash data routing system. By introducing this intermediate hash value, the system can accurately match and route crash data to the correct vendor even when multiple vendors upload information about the same executable file, preventing conflicts and misidentification
2Measurement precision
If the system uses detailed file metadata for identification, then accuracy improves, but the complexity of data processing increases
Solution Approach 1:
The patent extracts only the essential identification parameters from file metadata (name, version, link date) to compute the hash identifier, rather than processing entire file contents or all metadata attributes. This extraction approach maintains high identification accuracy by focusing on key distinguishing features while significantly reducing data processing complexity
Solution Approach 2:
The system transforms multiple metadata parameters into a single hash identifier through a mathematical transformation. This parameter consolidation reduces the complexity of data processing by converting diverse metadata fields into one unified identification value, while maintaining the precision needed for accurate file identification
Data Source
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AI summary
In one embodiment, a server may identify an executable file using a hash identifier. The server (110) may compute a hash identifier based on a file metadata set associated with an executable file. The server (110) may identify the executable file using the hash identifier.