Privacy-Preserving and Secure Cloud Computing: A Case of Large-Scale Nonlinear Programming

The volume of data is increasing rapidly, which poses a great challenge for resource-constrained users to process and analyze. A promising approach for solving computation-intensive tasks over big data is to outsource them to the cloud to take advantage of the cloud's powerful computing capabil...

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Veröffentlicht in:	IEEE transactions on cloud computing Jg. 11; H. 1; S. 484 - 498
Hauptverfasser:	Du, Wei, Li, Ang, Li, Qinghua, Zhou, Pan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Big Data Cloud computing Constraints Cybersecurity Gradient methods Nonlinear programming Outsourcing Privacy Protocols security Servers Task analysis
ISSN:	2168-7161, 2372-0018
Online-Zugang:	Volltext
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