IEEE Standard for Requirements of Privacy-Preserving Computation Integrated Platforms
IEEE Std 3156-2023
Year: 2024
IEEE - The Institute of Electrical and Electronics Engineers, Inc.
Abstract: To meet the evolving requirements of multi-sourced data computing and sharing, a standard for privacy-preserving computation integrated platforms is needed. Requirements of privacy computation integrated platforms, including the reference architecture, the functional requirements, the performance requirements, and the security requirements of privacy-preserving computation integrated platforms, are provided by this standard.
Subject: data computing
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IEEE Standard for Requirements of Privacy-Preserving Computation Integrated Platforms
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contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
date accessioned | 2024-12-17T08:47:00Z | |
date available | 2024-12-17T08:47:00Z | |
date copyright | 23 February 2024 | |
date issued | 2024 | |
identifier other | 10443763.pdf | |
identifier uri | http://yse.yabesh.ir/std;jse/handle/yse/336441 | |
description abstract | To meet the evolving requirements of multi-sourced data computing and sharing, a standard for privacy-preserving computation integrated platforms is needed. Requirements of privacy computation integrated platforms, including the reference architecture, the functional requirements, the performance requirements, and the security requirements of privacy-preserving computation integrated platforms, are provided by this standard. | |
language | English | |
publisher | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
title | IEEE Standard for Requirements of Privacy-Preserving Computation Integrated Platforms | en |
title | IEEE Std 3156-2023 | num |
type | standard | |
page | 30 | |
tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2024 | |
contenttype | fulltext | |
subject keywords | data computing | |
subject keywords | IEEE 3156™ | |
subject keywords | integrated platform | |
subject keywords | privacy-preserving computation | |
identifier DOI | 10.1109/IEEESTD.2024.10443763 |