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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Vydáno v:	IEEE transactions on network science and engineering Ročník 11; číslo 2; s. 1 - 16
Hlavní autoři:	Hu, Chunqiang, Liu, Jianshuo, Xia, Hui, Deng, Shaojiang, Yu, Jiguo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.03.2024
Témata:	<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
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