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Smart city article details

Title	Privacy-Preserving Data Collection And Analysis For Smart Cities
ID_Doc	43171
Authors	Sei Y.
Year	2024
Published	Human-Centered Services Computing for Smart Cities: IEICE Monograph
DOI	http://dx.doi.org/10.1007/978-981-97-0779-9_5
Abstract	Smart cities leverage real-world data to digitally replicate city-related aspects such as disaster prevention, transportation, and pandemics, creating an encompassing virtual environment. The construction of this realistic virtual world necessitates the collection of individual behavioral data through Internet of Things (IoT) environments. However, the challenge lies in ensuring the privacy of individuals during this data collection process. While numerous studies exist on privacypreserving data mining, most target clean, complete, and independent personal data. This overlooks the reality of real-world personal data, which often contains noise, missing values, and evidence of interpersonal interactions. To build a human-centric smart city, it is crucial to consider these imperfect and interactive data while preserving privacy. In this paper, we propose a novel framework for privacy-preserving data collection and analysis in smart cities. This framework acknowledges the inherent sensing errors and interpersonal interactions, ensuring a more accurate representation of real-world conditions while maintaining stringent privacy safeguards. © The Editor(s) (if applicable) and The Author(s) 2024. This book is an open access publication.
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