Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms

Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms

Privacy-preserving techniques allow private information to be used without compromising privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) algorithm, cannot perform computational operations on encrypted data without first applying the decryption process. Homomorphic...

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Bibliographic Details
Main Authors: Rafik Hamza, Alzubair Hassan, Awad Ali, Mohammed Bakri Bashir, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, Adil Yousif
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Entropy
Subjects:
big data
encryption algorithms
homomorphic encryption
privacy preserving
machine learning
Online Access:https://www.mdpi.com/1099-4300/24/4/519

Internet

https://www.mdpi.com/1099-4300/24/4/519

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