Data Corruption Detection Module for Processor Integrity
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Solution Overview
Problem
Existing systems fail to effectively detect and correct data corruption in computer program code executed by processors, leading to errors in functions performed on data records, which can go undetected and result in incorrect data processing.
Innovation Solution
A system comprising a processor-executable function-performing module and a data corruption detection module, where the detection module determines if functions performed on data records adhere to defined rules, generates notifications for corruption, and adjusts data records accordingly to correct errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data corruption detection is implemented, then data integrity is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining validation rules for data records before processing occurs. The system establishes expected data formats, ranges, and relationships in advance, then automatically checks incoming data against these pre-set criteria. This allows corruption detection to happen seamlessly during normal operations without adding complex real-time analysis layers.
Solution Approach 2:
The patent employs feedback mechanisms where the detection module continuously monitors data processing operations and provides feedback when corruptions are detected. The system compares actual data against expected patterns and feeds back correction signals or error notifications to the processing module, enabling automatic correction or flagging of corrupted data without manual intervention.
2Manufacturing precision
If comprehensive data validation rules are applied, then manufacturing precision of data processing is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by implementing selective validation where not all data records undergo the same level of scrutiny. The system identifies high-risk data fields or critical data records that require comprehensive validation while applying lighter checks to routine or low-risk data. This selective approach maintains high accuracy for critical operations while reducing overall processing time through differentiated validation intensity.
Data Source
AI summary
A system, comprises at least one processor; and a memory coupled to the at least one processor and storing a function-performing module comprising processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to determine that a function performed by a function-performing module was not performed according to a defined rule; and responsive to determining that the function was not performed according to the defined rule, generate a notification indicating data corruption, the data corruption detection module and the function-performing module configured separately and in a blind manner.