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Smart city article details

Title	Blockchain-Enabled Privacy Preserving Of Iot Data For Sustainable Smart Cities Using Machine Learning
ID_Doc	12693
Authors	Kumar P.M.; Rawal B.; Gao J.
Year	2022
Published	2022 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022
DOI	http://dx.doi.org/10.1109/COMSNETS53615.2022.9668530
Abstract	The development of sensor technologies and an explosion of the inexpensive electronic circuit, the Internet of Things (IoT) is emergent as an encouraging innovation to comprehend sustainable smart city. Smart cities can bid various intelligent applications like smart transportation, smart banking, and industry 4.0, among others, to boost citizens' life quality. However, security is one of the critical problems of a smart city. These emerging smart infrastructure and applications based on IoT can benefit users only if vital private and secure features are guaranteed. Hence, in this paper, Blockchain-enabled Privacy-Preserving Access Control System (BPACS) has been suggested for IoT data in a smart city environment. This study utilizes blockchain methods to construct a reliable and secure data-sharing policy between numerous data providers, where IoT information is encoded and then verified on disseminated ledgers. Furthermore, this study design protected construction blocks, like secure comparison and secure polynomial multiplications, by retaining cryptosystems and build a secure Support Vector Machine (SVM) and Principle Component Analysis (PCA) training algorithms. Hard security analysis proves that the suggested model guarantees the privacy of the sensitive information for every data provider and the SVM and PCA model variables for data analysts. © 2022 IEEE.
Author Keywords	Blockchain Technology; IoT Data; Machine Learning; PCA; Privacy-Preserving; Sustainable Smart Cities; SVM

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