Secure cloud services: Matrix multiplication revisited

Abstract

This paper revisits the issue of secure outsourcing of services. It proposes a data scrambling approach of transforming private data into public without public key encryption in the cloud computing context. The approach is applicable to non-ordering integer data type used in matrix multiplication. The paper applies row-column shuffling to matrices, and adds random noises to data in order to hide actual values and their sequence. The paper demonstrates the applicability of the approach with a running example.