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Improved Cloud-Based N-Primes Model for Symmetric-Based Fully Homomorphic Encryption Using Residue Number System
(Springer Nature Switzerland, 2021) Jimoh, Muhammed Kamaldeen; Isiaka, Mope Rafiu; A. W. Asaju-Gbolagade; K. S. Adewole; K. A. Gbolagade
Encryption schemes that allow computation to be performed on an encrypted data are required in modern real-world applications. This technology is a necessity for cloud computing, processing resources and share storage, in order to preserve integrity and privacy of data. The existing partial and fully homomorphic encryption (PHE and FHE) for both asymmetric and symmetric approaches are still suffering from efficiency in terms of encryption execution time and very large ciphertext file produced at the end of encryption. In this paper, we consider symmetric approaches and focus on overcoming the drawbacks of N-prime model using residue number system (RNS). The experimental results obtained show that the proposed RNS-based N-prime model for symmetric-based FHE improves the system latency and reduces the ciphertext file expansion by approximately 72% as compared to the existing N-prime model. The proposed improved N-prime model is guaranteed to provide optimum performance and reliable solution for securing integrity and privacy of user’s data in the cloud.