Enhancing Privacy and Availability for Data Clustering in Intelligent Electrical Service of IoT

The ever-growing demand for electrical energy of sensing devices in the Internet of Things (IoT) has led to generating large amounts of electricity consumption data. Electricity service providers often use wireless sensor networks to collect sensing devices' electricity consumption data for sta...

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Vydáno v:	IEEE internet of things journal Ročník 6; číslo 2; s. 1530 - 1540
Hlavní autoři:	Xiong, Jinbo, Ren, Jun, Chen, Lei, Yao, Zhiqiang, Lin, Mingwei, Wu, Dapeng, Niu, Ben
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.04.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	<italic 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">k -means algorithm Algorithms Availability Clustering Clustering algorithms Data analysis Data clustering Data mining Detection differential privacy Electricity Electricity consumption Electronic devices Internet of Things Internet of Things (IoT) Outliers (statistics) Performance evaluation Privacy privacy protection Remote sensors Security Statistical analysis Wireless sensor networks
ISSN:	2327-4662, 2327-4662
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