Research on Data Security Technology Based on Homomorphic Encryption in Cloud Computing Environment

• Published in: 2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM) pp. 308 - 313
• Main Author: Chu, Liang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.11.2023
• Subjects: Analytical models; Cloud computing; Data analysis; Data privacy; Data security; Homomorphic encryption; Neural network; Neural networks; Training
• DOI: 10.1109/ISPCEM60569.2023.00062

With the development of cloud computing, data security issues have become increasingly prominent. As an encryption method that can perform calculations in the ciphertext domain, homomorphic encryption technology provides an effective solution for data security in a cloud computing environment. Data security technology based on homomorphic encryption is the main subject of this paper. First, the classification and characteristics of homomorphic encryption technology are introduced, as well as security analysis methods, and then a data security system based on fully homomorphic encryption is designed, including data acquisition and preprocessing modules. Then, the data analysis module adopts a model structure based on a neural network and provides the model training and parameter optimization process. Finally, experiments were conducted based on real data sets to verify the feasibility and effectiveness of the system, and the system was evaluated from the aspects of accuracy, time overhead, and storage overhead. This paper concludes that homomorphic encryption technology can guarantee data privacy and integrity in a cloud computing environment while also improving computing efficiency and scalability.