Ensuring Confidentiality of Cloud Data using Homomorphic Encryption

Background/Objectives: To operate on encrypted data which will provide confidentiality and data privacy to cloud users. Method/Statistical Analysis: We have applied paillier algorithm's multiplicative property of homomorphic encryption to calculate total interest on encrypted banking dataset. Findings: Confidentiality of cloud user's data is achieved through Paillier homomorphic encryption. Cloud service provider can execute computations on ciphered user's data stored in cloud data center without knowing the secret key. Using RSA and Paillier algorithms performance is evaluated considering both encryption and decryption time. Improvements/Applications: Improvements can be done by optimizing the algorithm, which reflects changes in encryption and decryption time based on file size chosen. Banking application was selected, which included sensitive information of bank customers.