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

Jun Feng, Laurence T. Yang, Qing Zhu, Yang Xiang, Jinjun Chen, Zheng Yan

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

140 Lataukset (Pure)

Abstrakti

Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers and things. Outsourcing computation to cloud can offer resources-constrained enterprises and consumers sustainable computing in CPSS. However, ensuring the security of data in such an outsourced environment remains a research challenge. Principal eigentensor computation has emerged as a powerful tool dealing with multidimensional cyber-physical-social systems data. In this paper, we present two novel secure principal eigentensor computation (SPEC) schemes for sustainable CPSS. To the best of our knowledge, this is the first effort to address SPEC over encrypted data in cloud without the interaction need between multiple users and cloud. More specifically, we leverage cloud server and trusted hardware component to design a collaborative cloud model. Using the model, we propose (1) a basic SPEC scheme based on homomorphic computing and (2) an efficient SPEC scheme that combines the advantages of homomorphic computing and garbled circuits, and exploits packing technology to reduce computational cost. Finally, we theoretically and empirically analyze the security and efficiency of our SPEC schemes. Findings demonstrate that the proposed schemes provide a secure and efficient way of outsourcing computation for CPSS. In addition, from the cloud user's perspective, our proposal is lightweight.
AlkuperäiskieliEnglanti
Sivut119 - 130
Sivumäärä12
JulkaisuIEEE Transactions on Sustainable Computing
Vuosikerta6
Numero1
Varhainen verkossa julkaisun päivämäärä2018
DOI - pysyväislinkit
TilaJulkaistu - 2021
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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