Privacy Enhancing Technologies (PETs) and Tools
Privacy Enhancing Technologies (PETs) and Tools
Huawei Cloud is devoted to developing various privacy protection technologies and accumulating corresponding capabilities to meet all types of privacy protection requirements.
Huawei Cloud is devoted to developing various privacy protection technologies and accumulating corresponding capabilities to meet all types of privacy protection requirements.
Privacy Enhancing Technologies (PETs) and Tools
Privacy Enhancing Technologies (PETs) and Tools
Data masking is also called data anonymization. Huawei Cloud data masking is implemented using methods such as masking, noise addition, enumeration, truncation, hashing, and marking to protect user identities and sensitive information from being associated with data, and to mask the characters in personal data, thereby protecting data privacy and reducing data leakage risks. Huawei Cloud has also developed cloud services with this feature, such as Data Security Center (DSC).
By using security services built on static or dynamic data masking technologies, you can protect your sensitive information from being disclosed during data exchange, research, and query.
Differential privacy (DP) is a noise addition algorithm that retains certain data availability and prevents attackers from inferring user information. DP injects noise to a database without knowing the content of the database, meaning the dataset is fuzzed without affecting statistics. This technology reduces the probability of personal data disclosure during database query.
Huawei Cloud uses differential privacy technology in some products and services, and will continue to use this technology in more scenarios to protect your privacy while improving user experience.
The searchable encryption technology can be used to search encrypted personal data (such as customers' email addresses, phone numbers, and ID card numbers) without plaintext display, thereby reducing the risk of personal data breaches. GaussDB(openGauss) for cloud services supports equivalent query in full encryption mode. In the future, range query and fuzzy query in full encryption mode will also be supported to prevent data leakage during query.
With the cloud database GaussDB(for openGauss), you can search for and query data in full encryption mode, significantly reducing data leakage risks and meeting requirements for privacy protection compliance.