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ABSTRACT
Internet of Things (IoT) is a popular technological paradigm offering several promised advantages. IoT has been facing different challenges discussed by various researchers. The available literature on IoT challenges is mostly based on experimental studies or reviews. The analysis of webpages as a valuable database can be a good idea to provide an insight into IoT challenges. Thus, this paper was aimed at providing an overall view of webpages discussing IoT challenges. In this regard, the text mining approach was implemented to analyze the related webpages. The obtained results revealed that challenges relate to the security of IoT devices, connectivity, data processing, and storage have been the most prevalent topics in the selected webpages.
Acknowledgments
Dr. Massimo Aria, Associate Professor in Statistics for Social Sciences, PhD in Computational Statistics, Laboratory and Research Group STAD Statistics, Technology, Data Analysis, Department of Economics and Statistics, University of Naples Federico II, Monte S. Angelo, via Cinthia I-80126 Napoli, Italy