New directions in secure computation
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Özet (EN)
Conventional Machine Learning and Cloud Computing solutions require access to the raw data which generates potential security and privacy risk. Homomorphic Encryption method and Secure Multi-Party Computation protocol are both suitable solutions for security vulnerability. Homomorphic Encryption and Secure Multi-Party Computation provide to perform arbitrary computation on encrypted data without revealing the data and give the result of the same computation performed on unencrypted data. In this thesis, the essential concepts, mathematical background, property of Homomorphic Encryption schemes, practical implementations, state of the art Cloud approaches, current industry and potential applications for Machine Learning algorithms are analyzed in detail.
Yazar
Esra Coşkun
Bu Yayına Nasıl Atıf Yapılır
Esra Coşkun (Master Thesis). New directions in secure computation, 2022, Antalya Bilim University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
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