Securely Perturb Big Data by Using Inner Product Encryption
Published in 2019 IEEE Conference on Dependable and Secure Computing (DSC 2019), Hangzhou, China, 2019
Overview
A privacy-preserving approach to perturbing big data using inner-product encryption.
Cite
Mingli Wu and Tsz Hon Yuen. “Securely Perturb Big Data by Using Inner Product Encryption.” In Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing (DSC 2019), pp. 1–8, 2019.
Resources
This paper investigates privacy-preserving perturbation of big data using inner-product encryption. The approach enables protected data processing while supporting useful analysis over encrypted or perturbed data.