Data Scraping Encyclopedia>Data Scraping Noun> Data Masking

Data Masking | Web Scraping Tool | ScrapeStorm

2024-12-23 14:35:54

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Abstract：Data Masking is the process of changing the original value of sensitive data (such as personal, financial, health, etc.) so that it does not reveal the actual data. ScrapeStormFree Download

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Introduction

Data Masking is the process of changing the original value of sensitive data (such as personal, financial, health, etc.) so that it does not reveal the actual data. This keeps your data anonymous but can be used for testing, development, analysis or other purposes.

Applicable Scene

Data masking is primarily used in test and development environments. In these environments, using real data such as customer data or employee information can lead to security risks, so using masked data can reduce the risk. Masking technology is also used to protect confidentiality when sharing data with external vendors and third parties. In addition, analytical operations can comply with data privacy regulations by processing data in a way that does not identify individuals.

Pros: It plays an important role in complying with legal requirements and regulations such as GDPR and CCPA. It also helps improve work efficiency by allowing you to work in a secure environment while preserving the actual data format during development and testing. In addition, it can also share data securely with external partners, thereby improving business agility.

Cons: In some analysis or testing scenarios, modifying part of the data may cause the data to lose its original characteristics. In addition, the design and management of the desensitization process can be very laborious and costly, and there may be speed issues, especially for large data sets. In addition, a poorly designed desensitization process may result in the original data being in an inferable form, which requires technical expertise.