The main methods of database encryption include the following:
- Pre-proxy and encryption gateway technology: Add a security proxy service before the database. Users accessing the database must go through the security proxy service. Security policies such as data encryption and decryption, access control, etc. are implemented in this service. Encrypted data is stored in a secure proxy service. However, this method needs to solve the problem of consistency with the data stored in the database. At the same time, issues such as joint retrieval of data and development transparency will also be affected.
- Encryption outside the database: The data is first encrypted in memory using DES, RSA and other methods, and then the file system writes each encrypted memory data into the database file (treat the entire database as an ordinary file, rather than by data Relational writing), and then decrypt it in reverse when reading it in, and it can be used normally. This encryption method is relatively simple, as long as the keys are properly managed.
No matter which method is adopted, it needs to be decided according to the specific application scenarios and needs. At the same time, it is also important to note that database encryption may have a certain impact on system performance, so a balance needs to be made between security and performance.
Common database encryption technologies include the following:
- Database storage encryption: This encryption method is mainly aimed at the storage security of the database and prevents data leakage in the storage process. It is divided into two types: ciphertext storage and access control. Ciphertext storage is implemented through encryption algorithms, additional passwords, encryption modules and other methods. Access control examines and restricts user qualifications and permissions to prevent illegal users from accessing data or legitimate users from accessing data beyond their authority.
- Data transmission encryption: This technology encrypts the data stream during transmission, usually including line encryption and end-to-end encryption. Line encryption mainly focuses on the line, rather than considering the source and destination of the information. It provides security protection by using different encryption keys for each line. End-to-end encryption means that the information is automatically encrypted by the sending end and encapsulated in data packets by TCP/IP, and then passes through the Internet as unreadable and unrecognizable data. When the information reaches the destination, it will be automatically reassembled and decrypted. And become readable data.
- Data integrity authentication: This technology verifies the identity and related data content of people involved in information transmission, access and processing. It generally includes the authentication of passwords, keys, identities, data and other items. The system achieves data security protection by comparing and verifying whether the characteristic values entered by the object comply with the preset parameters.
The above are common database encryption technologies. Choosing the appropriate encryption technology needs to be determined based on specific application scenarios and needs. At the same time, it is also important to note that database encryption may have a certain impact on system performance, so a balance needs to be made between security and performance.
Andang KDPS data protection system4 solutions for database encryption
Andang KDPS data protection system takes the KSP key management platform as the core and the HSM hardware encryption machine as the cornerstone to provide professional, platform-based, and service-oriented cryptographic services for industry applications, realizing unified management and scheduling of cryptographic resources, and unified management and control of cryptographic services. Centralized management of keys can quickly realize the safe integration and application of cryptographic technology, improve customer business security, and create higher business value.
The biggest feature that distinguishes the Andang KDPS data protection system from the database encryption products of other domestic manufacturers is the use of a key management system. From the perspective of data security,key security It is the foundation of data security:
- Security: The key management system ensures the security of the data stored in the database. By using strong encryption algorithms and security protocols, key management systems prevent unauthorized users from accessing and stealing data. At the same time, by regularly updating the keys, the key management system can also prevent attackers from monitoring and cracking the keys for a long time.
- Availability: The key management system ensures the availability of database encryption. When generating keys, the key management system needs to ensure that the key is of sufficient length and complexity to avoid being easily cracked by attackers. In addition, different users may need to use different keys, which requires the distribution and storage of keys to ensure that each user can get their own key and will not leak it to other users.
- Scalability: The key management system ensures the scalability of database encryption. As the business develops, new users or new data may need to be added. At this time, the key management system can provide flexible solutions to meet changing business needs.
- Maintainability: The key management system ensures the maintainability of database encryption. In the key management system, a complete set of processes can be defined, including key generation, storage, distribution, update and deletion, which greatly simplifies key management and maintenance and improves work efficiency.
- Transparency: By using a key management system, a transparent data encryption and decryption process can be achieved, making data query and use more convenient and faster, without the need for manual encryption and decryption operations.
In general, using a key management system to connect database encryption is of great significance to protect the security, availability, scalability, maintainability and transparency of data.
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