Farzaliyev, Valeh, juhendajaGulmammadov, ToghrulTartu Ülikool. Loodus- ja täppisteaduste valdkondTartu Ülikool. Tehnoloogiainstituut2024-06-172024-06-172024https://hdl.handle.net/10062/99631In recent years, cloud computing has gained significant popularity as businesses increasingly use it for data training purposes. However, this widespread adoption raises privacy concerns, particularly in light of regulations such as the GDPR. Additionally, there is an imminent need to prepare for the potential threats posed by quantum computers, which can easily break most current encryption methods. In response to these challenges, we have undertaken research on "Post-Quantum Secure Cloud Computation Over Encrypted Data" to address privacy issues in a manner resilient to quantum attacks. Our study provides a detailed proof of concept, using Zama’s "Encrypted Health Prediction" tutorial as an example, to demonstrate the feasibility and practicality of creating SaaS applications that are secure against quantum threats and capable of training encrypted data in the cloud.enAttribution-NonCommercial-NoDerivs 3.0 EstoniaCloud computingPost-quantum cryptographyFully homomorphic encryptionbakalaureusetöödThesis