Encryption and decryption skills in Python web development
Python has become one of the important languages in Web development, and encryption and decryption technology are an indispensable part of Web development. In this article, I will introduce encryption and decryption techniques in Python.
- Introduction to Encryption and Decryption
In web development, data security is always crucial, especially when some confidential data needs to be transmitted. Therefore, encryption and decryption technology came into being, which can protect data and ensure that only legitimate users can access or process the data.
To put it simply, encryption is to convert the original data into unreadable ciphertext through a certain encryption algorithm, while decryption is to restore the ciphertext to the original data. Encryption and decryption require the use of a specific key, and only the person who has mastered this key can perform encryption or decryption operations.
- Encryption and decryption algorithms
There are many encryption and decryption algorithms in Python, including AES, DES, RSA, etc. The following is a brief introduction to several commonly used algorithms.
(1)AES
AES (Advanced Encryption Standard) is an advanced encryption standard algorithm that can protect the security of data transmission. AES is a symmetric encryption algorithm, which means the same key is used during encryption and decryption. The AES encryption algorithm adopts a block cipher design. For each key length, there are standard block lengths, commonly used ones are 128 bits, 192 bits and 256 bits.
When using Python for AES encryption and decryption operations, you can use the AES module in the pycryptodome library or the fernet module in the cryptography library.
(2) RSA
RSA is an asymmetric encryption algorithm that uses two keys, a public key for encryption and a private key for decryption. The security of the RSA algorithm depends on the difficulty of prime factorization, usually with a key length of 1024 bits or 2048 bits.
When using Python for RSA encryption and decryption operations, you can use the RSA module in the pycryptodome library or the rsa module in the cryptography library.
(3)DES
DES (Data Encryption Standard) is a symmetric encryption algorithm that divides data into 64-bit blocks and uses a 56-bit key for encryption. DES has been deemed unsafe and is generally no longer used.
You can also use the DES module in the pycryptodome library to perform DES encryption and decryption operations in Python.
- Encryption and decryption implementation in Python
In Python, you can use various libraries and modules to perform encryption and decryption operations. The following uses examples to introduce the use of common libraries.
(1) Use pycryptodome to implement AES encryption and decryption
pycryptodome is a Python package that can provide various modules required for encryption and decryption operations. The following example demonstrates how to use pycryptodome for AES encryption and decryption.
from Crypto.Cipher import AES from Crypto.Util.Padding import pad, unpad import base64 def encrypt_aes(data, key): cipher = AES.new(key.encode('utf-8'), AES.MODE_CBC) cipher_text = cipher.encrypt(pad(data.encode('utf-8'), AES.block_size)) iv = base64.b64encode(cipher.iv).decode('utf-8') cipher_text = base64.b64encode(cipher_text).decode('utf-8') return iv, cipher_text def decrypt_aes(iv, cipher_text, key): cipher = AES.new(key.encode('utf-8'), AES.MODE_CBC, base64.b64decode(iv.encode('utf-8'))) plain_text = unpad(cipher.decrypt(base64.b64decode(cipher_text.encode('utf-8'))), AES.block_size) return plain_text.decode('utf-8')
In the above code, we use the AES module and Padding module of pycryptodome to perform encryption and decryption operations. The AES module receives a key and an initialization vector (for CBC mode), then uses the pad function to pad the data to an integer multiple of the AES block size before encrypting it. When decrypting, the AES module is also used to receive the key, initial vector and ciphertext, and the unpad function is used to remove the padding from the decrypted data.
(2) Use cryptography to implement RSA encryption and decryption
cryptography is a powerful encryption library in Python, which includes various encryption algorithms. The following example demonstrates how to use cryptography for RSA encryption and decryption.
from cryptography.hazmat.primitives.asymmetric import rsa, padding from cryptography.hazmat.primitives import serialization, hashes def generate_rsa_key(): private_key = rsa.generate_private_key( public_exponent=65537, key_size=2048 ) return private_key, private_key.public_key() def encrypt_rsa(data, public_key): data = data.encode('utf-8') cipher_text = public_key.encrypt( data, padding.OAEP( mgf=padding.MGF1(algorithm=hashes.SHA256()), algorithm=hashes.SHA256(), label=None ) ) return cipher_text def decrypt_rsa(cipher_text, private_key): plain_text = private_key.decrypt( cipher_text, padding.OAEP( mgf=padding.MGF1(algorithm=hashes.SHA256()), algorithm=hashes.SHA256(), label=None ) ) return plain_text.decode('utf-8')
In the above code, we use the asymmetric module of cryptography, which provides operations such as RSA key generation, encryption and decryption. When generating private and public keys, we use the generate_private_key function and specify the public exponent (generally 65537) and key length (generally 2048 bits).
When encrypting, we use the encrypt function of the public key and specify parameters such as padding mode and hash algorithm. When decrypting, we use the decrypt function of the private key and also specify parameters such as padding mode and hash algorithm. It should be noted that when using cryptography for encryption and decryption operations, both the key and data need to use the bytes type.
- Summary
This article introduces common encryption and decryption algorithms in Python, and how to use various libraries and modules for encryption and decryption operations. In web development, encryption and decryption are one of the important means to ensure data security. I hope this article will be helpful to you.
The above is the detailed content of Encryption and decryption skills in Python web development. For more information, please follow other related articles on the PHP Chinese website!

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i


Hot AI Tools

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

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

Undress AI Tool
Undress images for free

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

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 Chinese version
Chinese version, very easy to use

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Zend Studio 13.0.1
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool
