MySQL data at rest encryption is mainly achieved through three steps: 1. Enable InnoDB tablespace encryption, configure my.cnf parameters such as innodb_encrypt_tables=ON and set the encryption algorithm AES-CBC, but the old table needs to be manually migrated; 2. Encrypt the data directory at the file system layer, use LUKS, eCryptfs or cloud services such as AWS EBS to encrypt the disk, overwrite logs and temporary files; 3. Implement key management policies and use external KMS such as AWS KMS or HashiCorp Vault to avoid key leakage, regularly rotate and separate the master key and table key, ensuring that even a single key leak does not affect overall security.
The encryption of MySQL data at rest is actually to encrypt and protect the data when it is not accessed, such as when it is stored on disk. This step is critical, especially when faced with loss of physical devices, unauthorized access, or compliance requirements. If your database has user information, transaction records or sensitive configurations, not encrypting it is equivalent to keeping the door open and waiting for others to come in.

The following aspects are what most people care about when setting up MySQL data at rest encryption. I will explain them one by one.
1. Enable InnoDB tablespace encryption
MySQL supports InnoDB's transparent data encryption (TDE) since 5.7, which means that you do not need to change the application code, you only need to open relevant options in the configuration file to achieve encryption.

The operation steps are roughly as follows:
- Make sure to use a version that supports encryption, such as MySQL Enterprise or Percona Server.
- Enable tablespace encryption in
my.cnf
:
[mysqld] innodb_encrypt_tables=ON innodb_encryption_threads=4
- Set the default encryption algorithm, such as AES-CBC:
innodb_default_encryption_key_id = 1 innodb_tablespaces_encryption = ON
Note: After turning on, all new tables will be automatically encrypted, but the old tables will not be automatically encrypted, and the tables need to be reconstructed manually or data can be migrated.

2. Encrypt data directory and file system layer
In addition to database-level encryption, operating system-level encryption is also a line of defense. If you are worried that the entire server disk will be stolen, you have to consider encrypting at the file system layer.
Commonly used solutions include:
- Encrypt the entire disk partition using LUKS (Linux Unified Key Setup).
- Use encrypted file systems such as eCryptfs or ZFS.
- Disk encryption features provided by cloud service providers, such as AWS EBS encrypted volumes.
The advantage of this method is that it is completely transparent to MySQL, does not affect too much performance, and can cover all data files, including logs, temporary files, and other places where InnoDB encryption may be missed.
However, one thing to note: Once the key is lost, the data will be completely gone, so you must be extra careful in key management.
3. Key management policies cannot be ignored
Whether it is InnoDB or file system encryption, key management is indispensable. This is the most prone place to go - where to put the key? How to rotate? How to backup?
Suggested practices:
- Use external key management services (KMS), such as AWS KMS, HashiCorp Vault.
- Do not write the key directly into the configuration file, as it is easy to leak.
- Rotate the keys regularly and make sure the old keys are still available to decrypt historical data.
- Store the master key and data separately to avoid "one key to unlock all locks".
For example, InnoDB supports the use of "master keys" and "table keys", each table has its own key, and the master key is used to encrypt these table keys. In this way, even if a certain table key is leaked, it will not affect all data.
Basically that's it. Encryption of data at rest seems simple, but when it is really time to implement, there are many details, especially in key management and compatibility. Don't underestimate this step, sometimes compliance audits are stuck here.
The above is the detailed content of Securing MySQL Data at Rest with Encryption. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.

To view the size of the MySQL database and table, you can query the information_schema directly or use the command line tool. 1. Check the entire database size: Execute the SQL statement SELECTtable_schemaAS'Database',SUM(data_length index_length)/1024/1024AS'Size(MB)'FROMinformation_schema.tablesGROUPBYtable_schema; you can get the total size of all databases, or add WHERE conditions to limit the specific database; 2. Check the single table size: use SELECTta

Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.

MySQL supports transaction processing, and uses the InnoDB storage engine to ensure data consistency and integrity. 1. Transactions are a set of SQL operations, either all succeed or all fail to roll back; 2. ACID attributes include atomicity, consistency, isolation and persistence; 3. The statements that manually control transactions are STARTTRANSACTION, COMMIT and ROLLBACK; 4. The four isolation levels include read not committed, read submitted, repeatable read and serialization; 5. Use transactions correctly to avoid long-term operation, turn off automatic commits, and reasonably handle locks and exceptions. Through these mechanisms, MySQL can achieve high reliability and concurrent control.

The setting of character sets and collation rules in MySQL is crucial, affecting data storage, query efficiency and consistency. First, the character set determines the storable character range, such as utf8mb4 supports Chinese and emojis; the sorting rules control the character comparison method, such as utf8mb4_unicode_ci is case-sensitive, and utf8mb4_bin is binary comparison. Secondly, the character set can be set at multiple levels of server, database, table, and column. It is recommended to use utf8mb4 and utf8mb4_unicode_ci in a unified manner to avoid conflicts. Furthermore, the garbled code problem is often caused by inconsistent character sets of connections, storage or program terminals, and needs to be checked layer by layer and set uniformly. In addition, character sets should be specified when exporting and importing to prevent conversion errors

The most direct way to connect to MySQL database is to use the command line client. First enter the mysql-u username -p and enter the password correctly to enter the interactive interface; if you connect to the remote database, you need to add the -h parameter to specify the host address. Secondly, you can directly switch to a specific database or execute SQL files when logging in, such as mysql-u username-p database name or mysql-u username-p database name

To set up asynchronous master-slave replication for MySQL, follow these steps: 1. Prepare the master server, enable binary logs and set a unique server-id, create a replication user and record the current log location; 2. Use mysqldump to back up the master library data and import it to the slave server; 3. Configure the server-id and relay-log of the slave server, use the CHANGEMASTER command to connect to the master library and start the replication thread; 4. Check for common problems, such as network, permissions, data consistency and self-increase conflicts, and monitor replication delays. Follow the steps above to ensure that the configuration is completed correctly.

CTEs are a feature introduced by MySQL8.0 to improve the readability and maintenance of complex queries. 1. CTE is a temporary result set, which is only valid in the current query, has a clear structure, and supports duplicate references; 2. Compared with subqueries, CTE is more readable, reusable and supports recursion; 3. Recursive CTE can process hierarchical data, such as organizational structure, which needs to include initial query and recursion parts; 4. Use suggestions include avoiding abuse, naming specifications, paying attention to performance and debugging methods.
