Privacy Preserving in Smart Cities Using Various Computing Technologies

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Author(s): T. N. Gayathri (Vellore Institute of Technology, India)and M. Rajasekharababu (Vellore Institute of Technology, India)
Copyright: 2022
Pages: 8
Source title: Handbook of Research on Advances in Data Analytics and Complex Communication Networks
Source Author(s)/Editor(s): P. Venkata Krishna (Sri Padmavati Mahila University, India)
DOI: 10.4018/978-1-7998-7685-4.ch003

Keywords: Data Analysis and Statistics / Information Science Reference / Media & Communications / Wireless Systems

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Abstract

IoT has influenced our daily lives through various applications. The high possibility of sensing and publishing sensitive data in the smart environment leads to significant issues: (1) privacy-preserving and (2) real-time services. Privacy is a complex and a subjective notion as its understanding and perception differ among individuals, hence the observation that current studies lack addressing these challenges. This chapter proposes a new privacy-preserving method for IoT devices in the smart city by leveraging ontology, a data model, at the edge of the network. Based on the simulation results using Protege and Visual Studio on a synthetic dataset, the authors find that the solution provides privacy at real-time while addressing heterogeneity issue so that many IoT devices can afford it. Thus, the proposed solution can be widely used for smart cities.

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Privacy Preserving in Smart Cities Using Various Computing Technologies

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