DPP: Data Privacy-Preserving for Cloud Computing based on Homomorphic Encryption
Author
Abstract

Cloud computing has been widely used because of its low price, high reliability, and generality of services. However, considering that cloud computing transactions between users and service providers are usually asynchronous, data privacy involving users and service providers may lead to a crisis of trust, which in turn hinders the expansion of cloud computing applications. In this paper, we propose DPP, a data privacypreserving cloud computing scheme based on homomorphic encryption, which achieves correctness, compatibility, and security. DPP implements data privacy-preserving by introducing homomorphic encryption. To verify the security of DPP, we instantiate DPP based on the Paillier homomorphic encryption scheme and evaluate the performance. The experiment results show that the time-consuming of the key steps in the DPP scheme is reasonable and acceptable.

Year of Publication
2022
Date Published
oct
Publisher
IEEE
Conference Location
Suzhou, China
ISBN Number
9798350331547
URL
https://ieeexplore.ieee.org/document/10090144/
DOI
10.1109/CyberC55534.2022.00016
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