PDSE Physical Dump Anonymizer for Secure Data Diagnosis
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Solution Overview
Problem
Diagnosing and addressing data corruption in PDSE and other data sets is challenging due to sensitivity and confidentiality concerns, as existing methods require manual physical dumps that cannot be easily shared with external technicians, limiting effective diagnosis and resolution.
Innovation Solution
A method and system for anonymizing data set dumps by generating a scrubbed copy that overwrites customer data within the data set while retaining the index and structure, allowing for secure transmission to external entities for examination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a physical dump of the data set is taken to diagnose corruption, then diagnostic capability is improved, but data sensitivity and confidentiality risks increase
Solution Approach 1:
The patent creates a copy of the physical dump data set and processes this copy to remove sensitive information. The copy is then transmitted to external technicians for analysis, while the original sensitive data remains protected on the host system.
Solution Approach 2:
The patent extracts and removes sensitive customer data from the physical dump before transmission. The anonymization process identifies and extracts sensitive information elements, replacing them with anonymized versions that preserve diagnostic value while eliminating confidentiality risks.
2Reliability
If manual physical dumps are taken to protect data confidentiality, then data security is improved, but diagnostic effectiveness deteriorates
Solution Approach 1:
The system automatically transmits the anonymized copy to external technicians, enabling them to perform thorough diagnostic analysis without compromising data security. The automation ensures timely transmission while maintaining both security and diagnostic effectiveness.
Solution Approach 2:
The patent transforms the data set by changing its parameters - specifically, it modifies sensitive data fields to anonymized versions while preserving the structural and diagnostic parameters needed for corruption analysis. This allows external technicians to effectively diagnose issues without accessing sensitive information.
3Loss of time
If automatic physical dumps are taken for timely diagnosis, then diagnostic speed is improved, but data confidentiality risks increase
Solution Approach 1:
The system performs preliminary anonymization processing on the physical dump data before transmission. This preliminary action removes sensitive information in advance, enabling automatic and timely transmission to external technicians without exposing confidential data during the diagnostic process.
Solution Approach 2:
The patent creates and transmits an anonymized copy of the dump data automatically. This copy contains all necessary diagnostic information while having sensitive data removed, enabling fast automated transmission and analysis without confidentiality risks.
Data Source
AI summary
A method for anonymizing a data set dump includes detecting an error in an original data set and generating a copy of the original data set. Like the original data set, the copy contains an index and a plurality of members. The method reads the index to locate members within the copy that are reachable by the index. The method then converts the copy to a scrubbed copy by overwriting customer data within the members, while retaining the index, structure of the members, and quantity of data within the data set. In certain embodiments, the method further locates lost members within the copy that are not referenced by the index, and overwrites customer data within the lost members. The scrubbed copy may then be transmitted to a technician for examination since all potentially sensitive/confidential data has been removed. A corresponding system and computer program product are also disclosed.