18141185. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA ANONYMIZATION simplified abstract (Dell Products L.P.)
Contents
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA ANONYMIZATION
Organization Name
Inventor(s)
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA ANONYMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18141185 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR DATA ANONYMIZATION
Simplified Explanation: The patent application describes a method, device, and computer program for data anonymization. It involves classifying data, anonymizing it using different models based on data types, and ensuring re-anonymization if needed to prevent data leakage.
Key Features and Innovation:
- Classification of data by a classifier to obtain data types
- Anonymization of data using different models based on data types
- Re-anonymization of data if needed to prevent data leakage
Potential Applications: This technology can be applied in industries where data privacy and security are crucial, such as healthcare, finance, and telecommunications.
Problems Solved: This technology addresses the challenge of ensuring data anonymity while using different anonymization models for different types of data.
Benefits:
- Enhanced data privacy and security
- Prevention of data leakage
- Customized anonymization based on data types
Commercial Applications: The technology can be used in data-driven industries to protect sensitive information and comply with data privacy regulations, potentially leading to increased trust from customers and stakeholders.
Prior Art: Readers can explore prior research on data anonymization techniques, machine learning models for data classification, and re-identification risks in anonymized data.
Frequently Updated Research: Stay informed about advancements in data anonymization techniques, machine learning algorithms for data classification, and best practices for ensuring data privacy in various industries.
Questions about Data Anonymization: 1. How does this technology address the challenge of re-identification risks in anonymized data? 2. What are the potential implications of using different anonymization models for different types of data?
Original Abstract Submitted
Embodiments disclosed herein relate to a method, an electronic device, and a computer program product for data anonymization. The method includes: performing classification on data by a classifier to obtain data types of the data. The method further includes: performing anonymization on the data by a first anonymization model to obtain first anonymized data. The method further includes: determining, based on the data types, using an anonymizer whether re-anonymization needs to be performed on the first anonymized data. The method further includes: performing, based on a determination that the re-anonymization needs to be performed, the re-anonymization on the first anonymized data by a second anonymization model to obtain second anonymized data. Accordingly, anonymization processing may be performed on data using different anonymization models for different types of data to obtain the final anonymized data and to ensure that no data leakage occurs.
