How to process sensitive information of data and fuzzy query in MySQL?

How to process sensitive information of data and fuzzy query in MySQL?

In practical applications, in order to protect users' sensitive information, sensitive information is not allowed to be stored directly in the database. In MySQL, we can handle sensitive information through some technical means to ensure data security. In addition, fuzzy query is also one of the functions we often use, and there are corresponding methods to implement it in MySQL.

1. Sensitive Information Processing

Sensitive information usually includes user passwords, bank card numbers, ID numbers, etc. In order to protect the security of this information, we can use the following methods to process it ：

1. Hash function and salting: Hash the user's password, add a random salt value, and store the salt value and the hash result in the database together. When the user logs in, the entered password is processed in the same way, merged with the salt value in the database, and compared. In this way, even if the database is stolen, the hacker will not know the real password.
2. Symmetric encryption and decryption: For other sensitive information, we can use symmetric encryption algorithms such as AES or DES to encrypt the data before storing it in the database. When reading the data, the same key is used for decryption.
3. Asymmetric encryption: Asymmetric encryption algorithms such as RSA can encrypt and decrypt data. When a user registers, a pair of public key and private key is generated, and the public key is stored in the database. Then after the user enters the password, the password is encrypted using the public key, and the encrypted password is stored in the database. When reading the data, the private key is used to decrypt the password.

2. Fuzzy query

Fuzzy query refers to fuzzy matching of data in the database based on specified keywords. In MySQL, commonly used fuzzy query methods include wildcards and regular expressions, which will be introduced separately below.

1. Wildcard query: Wildcard characters refer to characters used to match characters at specific positions in a string. % is usually used to represent any character, and _ represents a character.

Sample code:

SELECT * FROM table_name WHERE column_name LIKE 'keyword%'

This SQL statement will query the data in the table table_name that matches the keyword keyword.

2. Regular expression query: Regular expression is a syntax used to describe string rules, which can make fuzzy queries more flexible.

Sample code:

SELECT * FROM table_name WHERE column_name REGEXP 'pattern'

Among them, pattern is the string pattern to be matched, and you can use the grammar rules of regular expressions.

Summary:

Through the processing of sensitive information and the technical means of fuzzy query, we can better protect the security of data and flexibly retrieve the required data. Of course, in practical applications, reasonable selection and configuration need to be made according to specific circumstances.

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