A privacy-preserving model for cloud data storage through fog computing
by Rishabh Gupta; Ashutosh Kumar Singh
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 17, No. 3, 2022

Abstract: Nowadays, most of the organisations are shifting their data to the cloud platform because of its flexibility, elasticity, on-demand services, etc. The major concern of these organisations is to store the data on the cloud in a privacy-preserving manner as they lose the control rights, and the data can be leaked/tempered during the transmission. This paper presents a privacy preserving scheme that uses the Advanced Encryption Standard (AES) technique to store the client data on the cloud via fog computing. Encryption is performed at the local machine as well as fog server and then data is transferred to the cloud. Randomly generated files are used to perform the experiments and encryption/decryption time is computed. The results show an improvement of 80% and 88% when a file of 10 MB is encrypted and decrypted respectively as compared to the previous work.

Online publication date: Tue, 27-Sep-2022

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