Partially Homomorphic Encryption with Paillier in Python From Scratch

In this video, we'll explore the partially homomorphic Paillier cryptosystem and its implementation in Python. We'll show how the Paillier cryptosystem supports both additive and partially multiplicative homomorphism, allowing us to perform limited computations on encrypted data. We'll walk through some example Python code to show how to generate keys, encrypt and decrypt messages, and perform homomorphic operations on encrypted data using the Paillier cryptosystem in Python. By the end of the video, you'll understand how to use the Paillier cryptosystem in Python for private computations on encrypted data.

Homomorphic encryption has the potential to enable secure computation on sensitive data without requiring decryption, which makes it a powerful tool for protecting privacy in various applications. Homomorphic encryption can also be used in cloud computing, where it enables secure computation on encrypted data stored in the cloud without exposing the data to the cloud provider. Additionally, e-voting is another potential use case for homomorphic encryption. With homomorphic encryption, votes can be encrypted and counted without the need to decrypt them, which ensures the privacy and integrity of the voting process. Homomorphic encryption also enables vote auditing by allowing voters to verify that their votes were correctly counted without revealing their actual vote. This has the potential to improve the security and transparency of e-voting systems, making them more trustworthy and reliable.

Tutorial: https://sefiks.com/2023/04/03/a-step-...

Want to do partially homomorphic Paillier encryption with a few lines of code in Python? Check out LightPHE:    • LightPHE: A Lightweight Partially Hom...  

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