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Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems [PDF]

open access: yesIEEE Transactions on Sustainable Computing, 2021
Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers, and things. Outsourcing computation to the 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.
Feng, Jun   +6 more
openaire   +4 more sources

PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)

open access: yesCoRR, 2021
Privacy-preserving data mining has become an important topic. People have built several multi-party-computation (MPC)-based frameworks to provide theoretically guaranteed privacy, the poor performance of real-world algorithms have always been a challenge.
Xiaoyu Fan   +4 more
openaire   +2 more sources

Secure Multiparty Computation of Principal Component Analysis

open access: yesJournal of KIISE, 2015
In recent years, many research efforts have been made on privacy-preserving data mining (PPDM) in data of large volume. In this paper, we propose a PPDM solution based on principal component analysis (PCA), which can be widely used in computing correlation among sensitive data sets.
Sang-Pil Kim   +4 more
openaire   +1 more source

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