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Cryptography
Cryptography
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| Description | Price Range |
|---|---|
| Basic Introduction to Fully Homomorphic Encryption | $15 - $30 |
| Intermediate Implementation of FHE Algorithms | $35 - $60 |
| Advanced Applications of FHE in Secure Computing | $65 - $100 |
| Complex FHE Projects and Scalable Encryption | $120 - $200+ |
| Priority Service for Any Level of FHE Assignment | Additional 50% |
| Consultation on FHE Implementation | $20 - $50 per hour |
- Fully Homomorphic Encryption (FHE)
- Simple Encryption and Decryption with RSA Keys
- Fully Homomorphic Encryption Assignment Help
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Fully Homomorphic Encryption (FHE)
Fully Homomorphic Encryption (FHE) is an advanced cryptographic technique that allows computations to be performed on encrypted data without the need for decryption. This groundbreaking technology enables fully homomorphic encryption assignment help experts to perform operations on sensitive information while maintaining confidentiality. FHE achieves this by utilizing complex mathematical algorithms that preserve the integrity of data throughout the computation process.
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Simple Encryption and Decryption with RSA Keys
from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP
# Generate RSA key pair
key = RSA.generate(2048)
# Encrypting a message
cipher = PKCS1_OAEP.new(key)
message = b'Hello, world!'
ciphertext = cipher.encrypt(message)
# Decrypting the message
decipher = PKCS1_OAEP.new(key)
decrypted_message = decipher.decrypt(ciphertext)
print("Original message:", message.decode())
print("Decrypted message:", decrypted_message.decode())
Explanation:
- Key Generation: We generate an RSA key pair with a key size of 2048 bits.
- Encryption: Using the public key (cipher), we encrypt the message "Hello, world!" (message) using the PKCS#1 OAEP padding scheme.
- Decryption: Using the private key (decipher), we decrypt the ciphertext (ciphertext) to retrieve the original message.
This example demonstrates the basic principles of encryption and decryption using RSA, which is a building block in understanding more complex concepts like Fully Homomorphic Encryption (FHE).
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