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Safeguarding Urban Intelligence: Redefining IoT Networks With Privacy in Mind
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Author(s): G. Mani (University College of Engineering, Kancheepuram, India), J. Rajeshwari (Dayananda Sagar college of Engineering, India), R. Suganthi (Panimalar Engineering College, India), P. Smitha Vas (LBS Institute of Technology for Women, India), G. Manoj Kumar (LBS College of Engineering, India)and N. V. Keerthana (Velalar College of Engineering and Technology, India)
Copyright: 2026
Pages: 28
Source title:
Navigating Cybersecurity and Privacy in the Evolution of Smart Urban Ecosystems
Source Author(s)/Editor(s): Asmaa Mahfoud Alhakimi (Management and Science University, Malaysia), Safaa Najah Saud Al-Humairi (Management and Science University, Malaysia), Saddaf Rubab (University of Sharjah, UAE)and I. Wayan Budi Sentana (Bali State Polytechnic, Indonesia)
DOI: 10.4018/979-8-3373-4455-3.ch008
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Abstract
The growing reliance on Internet of Things (IoT) technologies in smart cities brings significant data privacy and security challenges. This paper presents a privacy-preserving IoT network model designed to protect sensitive information while retaining functionality and performance. The model utilizes edge computing, lightweight encryption, pseudonymization, and role-based access control alongside blockchain for enhanced trust and transparency. Experimental results demonstrate that this approach efficiently safeguards data without compromising service quality. This study aims to enable the responsible and sustainable implementation of smart city innovations while preserving citizen dignity, consent, and control over their own data.
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