A Lightweight Mutual Privacy Preserving k-means Clustering in Industrial IoT

In many industrial Internet of Things application schemes, participants, such as IoT devices, often share information with each others for analysis and categorization purpose. Through the analysis and statistical processing of the information, some necessary information is exchanged, e.g., the attri...

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Bibliographic Details

Published in:	IEEE transactions on network science and engineering Vol. 11; no. 2; pp. 1 - 16
Main Authors:	Hu, Chunqiang, Liu, Jianshuo, Xia, Hui, Deng, Shaojiang, Yu, Jiguo
Format:	Journal Article
Language:	English
Published:	IEEE 01.03.2024
Subjects:	<inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> k</tex-math> </inline-formula>-means clustering algorithm Clustering algorithms Costs Distributed databases homomorphic encryption Industrial Internet of Things lightweight clustering algorithm Performance evaluation Privacy privacy preservation Servers
ISSN:	2327-4697, 2334-329X
Online Access:	Get full text
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