Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems

Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers, and things. Outsourcing computation to cloud can offer resources-constrained enterprises consumers sustainable computing in CPSS. However, ensuring security of data such an outsourced environment remains a research challenge. Principal eigentensor has emerged as powerful tool dealing with multidimensional cyber-physical-social data. In this paper, we present two novel secure principal (SPEC) schemes for To best our knowledge, is first effort address SPEC over encrypted without interaction need multiple users cloud. More specifically, leverage server trusted hardware component design collaborative model. Using model, propose (1) basic scheme based on homomorphic (2) efficient that combines advantages garbled circuits, exploits packing technology reduce computational cost. Finally, theoretically empirically analyze efficiency schemes. Findings demonstrate proposed provide way outsourcing addition, from user's perspective, proposal lightweight.