from cryptography.fernet import Fernet def encrypt_message(public_key, message): # Get the public key in bytes public_key_bytes = bytes.fromhex(public_key) # Generate a symmetric key symmetric_key = Fernet.generate_key() # Encrypt the message using the symmetric key f = Fernet(symmetric_key) encrypted_message = f.encrypt(message.encode()) # Encrypt the symmetric key using the public key rsa_key = RSA.import_key(public_key_bytes) cipher_rsa = PKCS1_OAEP.new(rsa_key) encrypted_key = cipher_rsa.encrypt(symmetric_key) return encrypted_key, encrypted_message

import ecdsa # Generate a private key private_key = ecdsa.SigningKey.generate(curve=ecdsa.SECP256k1) # Get the public key public_key = private_key.get_verifying_key() # Encode the keys to hexadecimal format private_key_hex = private_key.to_string().hex() public_key_hex = public_key.to_string().hex() print(f'Private key: {private_key_hex}') print(f'Public key: {public_key_hex}') from cryptography.fernet import Fernet def encrypt_message(public_key, message): # Get the public key in bytes public_key_bytes = bytes.fromhex(public_key) # Generate a symmetric key symmetric_key = Fernet.generate_key() # Encrypt the message using the symmetric key f = Fernet(symmetric_key) encrypted_message = f.encrypt(message.encode()) # Encrypt the symmetric key using the public key rsa_key = RSA.import_key(public_key_bytes) cipher_rsa = PKCS1_OAEP.new(rsa_key) encrypted_key = cipher_rsa.encrypt(symmetric_key) return encrypted_key, encrypted_message from cryptography.fernet import Fernet def encrypt_message(public_key, message): # Get the public key in bytes public_key_bytes = bytes.fromhex(public_key) # Generate a symmetric key symmetric_key = Fernet.generate_key() # Encrypt the message using the symmetric key f = Fernet(symmetric_key) encrypted_message = f.encrypt(message.encode()) # Encrypt the symmetric key using the public key rsa_key = RSA.import_key(public_key_bytes) cipher_rsa = PKCS1_OAEP.new(rsa_key) encrypted_key = cipher_rsa.encrypt(symmetric_key) return encrypted_key, encrypted_message

I asked, “Open Ai” a question, as to how I could use, “Maria DB”, as a transaction, on a blockchain and how would I do it; and here was the, Answer:

Public Notice

How can I use MariaDB as a database for a Blockchain, create a blog for my “MariaDB”: as a blockchain to be published on the blockchain in the future; ai?

MariaDB is a popular database management system that can be used to store data for a variety of applications, including a blockchain. Here are some steps you can follow to use MariaDB as the database for a blockchain:

  1. Install MariaDB on your server or local machine. You can download the latest version of MariaDB from the official website (https://mariadb.org/).
  2. Create a database and user for your blockchain. You can do this by logging into the MariaDB command line interface (CLI) and running the following commands:
Copy codeCREATE DATABASE blockchain;
CREATE USER 'blockchainuser'@'localhost' IDENTIFIED BY 'password';
GRANT ALL PRIVILEGES ON blockchain.* TO 'blockchainuser'@'localhost';
FLUSH PRIVILEGES;
  1. Design the schema for your blockchain database. A blockchain typically consists of blocks that contain transactions, so you will need to create tables to store this data. You can use the following SQL statements to create the necessary tables:
Copy codeCREATE TABLE blocks (
  block_id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
  block_hash VARCHAR(64) NOT NULL,
  previous_hash VARCHAR(64) NOT NULL,
  timestamp DATETIME NOT NULL,
  data TEXT NOT NULL
);

CREATE TABLE transactions (
  transaction_id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
  block_id INT NOT NULL,
  sender VARCHAR(64) NOT NULL,
  recipient VARCHAR(64) NOT NULL,
  amount DECIMAL(20, 8) NOT NULL,
  FOREIGN KEY (block_id) REFERENCES blocks(block_id)
);
  1. Use the MariaDB API or a MariaDB driver for your programming language to connect to the database and perform CRUD (create, read, update, delete) operations on the tables you created.

In terms of using MariaDB as a blockchain, it is possible to use it as a decentralized database for storing data in a blockchain. However, there are other databases that are specifically designed for use in blockchain applications, such as Ethereum’s LevelDB or Hyperledger Fabric’s CouchDB. It is up to you to decide which database is the best fit for your particular use case.Regenerate response

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