Selective Data Anonymization With Search ID Mapping for Cloud Transfer
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Solution Overview
Problem
The need for efficient data security measures to protect data stored at third-party locations, particularly in cloud computing environments, existing technologies have not been addressed, and existing technologies have not efficiently addressed the challenges of ensuring secure and compliant transmission of data in these environments, particularly in cloud computing environments, and existing technologies have not efficiently addressed the challenges of ensuring secure and compliant transmission of data in these environments, particularly in cloud computing environments, and existing technologies have not efficiently addressed the challenges of ensuring secure and compliant transmission of data in these environments, particularly in cloud computing environments, and existing technologies have not efficiently addressed the challenges of ensuring secure and compliant transmission of data in these environments, and existing technologies have not effectively managed secure and compliant data transmission in cloud computing scenarios.
Innovation Solution
A method and system for anonymizing data transmitted to a destination computing device using an anonymization module to derive anonymized data, selecting a search ID, and storing a cross-reference between a search key and the search ID in a data store, ensuring secure and compliant data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transmitted to third-party cloud computing locations, then application accessibility and resource allocation flexibility are improved, but data security and unauthorized access protection deteriorate
Solution Approach 1:
The patent introduces an intermediary anonymization system between the client and third-party cloud server. This intermediary component replaces direct data transmission with anonymized data transmission, allowing the system to maintain application accessibility while preventing unauthorized access to sensitive information. The anonymization module acts as a mediator that transforms data before it reaches the third-party location.
Solution Approach 2:
The patent extracts sensitive information from the data transmission process by separating it into a cross-reference table stored locally. Only anonymized data is transmitted to the third-party cloud, while the mapping between original and anonymized data remains extracted and stored in the local database, preventing sensitive data exposure during transmission.
2Object-affected harmful factors
If data is anonymized before transmission, then data security and compliance are improved, but system complexity and data processing requirements worsen
Solution Approach 1:
The patent segments the anonymization process into distinct functional modules: an anonymization module that generates anonymized data, a cross-reference table that stores mappings, and a de-anonymization module that restores data. This segmentation allows each component to be independently optimized and managed, reducing overall system complexity while maintaining security.
Solution Approach 2:
The patent creates a copy of the data in anonymized form for transmission to the third-party cloud, while the original data remains stored locally in the cross-reference table. This copying approach allows the system to maintain security during transmission without permanently altering or losing the original data, simplifying the anonymization process.
3Measurement precision
If cross-reference tables are maintained for data mapping, then data retrieval accuracy is improved, but storage requirements and data management complexity worsen
Solution Approach 1:
The patent applies partial anonymization by maintaining cross-reference tables only for sensitive data fields that require protection, rather than anonymizing all data. This partial action approach reduces storage requirements while still providing necessary security for critical information, balancing accuracy and storage efficiency.
Data Source
AI summary
A method and system for anonymizing data to be transmitted to a destination computing device is disclosed. Anonymization strategy for data anonymization is provided. Data to be transmitted is received from a user computer. Selective anonymization of the data is performed, based on the anonymization strategy, using an anonymization module. The data includes a plurality of characters. A portion of the anonymized data is selected as a search ID. A cross reference between a search key indicative of a portion of the received data and the corresponding search ID is stored.