Paolo Tassoni
A Fully Homomorphic Encryption Application: SHA256 on Encrypted Input.
Rel. Danilo Bazzanella, Marco Rinaudo, Veronica Cristiano. Politecnico di Torino, Master of science program in Computer Engineering, 2023
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Abstract
Nowadays, data privacy plays a key role in the context of the Cloud services, Artificial Intelligence applications, Internet of Things and other applications. Among all the different approaches in the field of information security and cryptography for preserving the privacy and the secrecy of data, one of the most promising is Fully Homomorphic Encryption (FHE). In fact, FHE enables users to perform computations directly on encrypted data without having to first decrypt it, ensuring the property of data confidentiality and preventing the exposure of sensitive information. This thesis presents a use case application for FHE, more specifically, a homomorphic implementation of the currently most used hash function, SHA256.
The initial part of this thesis is focused on the study of FHE, initially going over some basic fundamentals of cryptography, and then introducing various Homomorphic Encryption schemes, culminating in the FHE scheme called TFHE (Torus Fully Homomorphic Encryption)
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