SQLite security needs to be considered from multiple levels:
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Database Encryption
- Use SQLCipher extension for database encryption
- Supports multiple encryption algorithms (AES-256, etc.)
- Encryption has some impact on performance
sql-- Use SQLCipher to encrypt database PRAGMA key = 'encryption_key'; -
Access Control
- SQLite itself does not support user permission management
- Need to implement access control at application layer
- Use file system permissions to control database file access
- Use middleware layer for permission management in network environments
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SQL Injection Protection
- Use parameterized queries (Prepared Statements)
- Avoid string concatenation to build SQL statements
python# Python example: using parameterized queries cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,)) -
Input Validation
- Validate all user inputs
- Limit input length and format
- Use whitelist instead of blacklist validation
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Data Integrity
- Use constraints to ensure data integrity
- Enable foreign key constraints:
PRAGMA foreign_keys = ON; - Regularly backup the database
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Security Configuration
sql-- Restrict dangerous operations PRAGMA secure_delete = ON; -- Overwrite when deleting data -- Disable loading extensions PRAGMA load_extension = OFF; -
Transmission Security
- If database file is transmitted over network, use encrypted transmission
- Avoid transmitting plaintext database over untrusted networks
- Use VPN or encrypted tunnel
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Audit and Monitoring
- Log database access
- Monitor abnormal query patterns
- Regularly review database access permissions
-
Mobile Application Security
- Do not store database in accessible locations
- Use device encryption features
- Consider using keychain or keystore to store encryption keys
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Best Practices
- Principle of least privilege
- Regularly update SQLite version
- Conduct security code reviews
- Implement data backup and recovery plans
SQLite security mainly relies on application layer implementation, developers need to comprehensively consider all security aspects.