Technical Architecture

Core Components

• Decryption Engine: Specializes in decoding encrypted data and tokens.

from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from virtual_protocol import TokenFetcher, DataDecoder

class DonnaDecryptionEngine:
    def __init__(self, key: bytes, iv: bytes):
        self.cipher = Cipher(algorithms.AES(key), modes.CFB(iv))

    def decrypt_token(self, encrypted_token: bytes) -> str:
        decryptor = self.cipher.decryptor()
        return decryptor.update(encrypted_token) + decryptor.finalize()

# Example usage:
key = b'16_byte_secret_'  # Replace with secure key management
iv = b'16_byte_iv______'  # Replace with secure IV
engine = DonnaDecryptionEngine(key, iv)

# Fetch encrypted token from the Virtual protocol
encrypted_token = TokenFetcher.fetch_encrypted_token("OG_Token_ID")

# Decrypt and decode token data
decrypted_data = engine.decrypt_token(encrypted_token)
print("Decrypted Data:", DataDecoder.decode(decrypted_data))

• Behavioral Analytics Module: Observes and analyzes AI agents’ interactions and performance.

• Data Aggregation Hub: Collects and processes information from the Virtual ecosystem’s bot network.