Data Security and Privacy Challenges in IoT-Enabled Smart Cities: A Comprehensive Survey
محورهای موضوعی :Safoura Akhlaghi 1 , Mohammad bagher Menhaj 2 , behrooz masoumi 3
1 - Department of Computer Engineering and Information Technology Islamic Azad University of Qazvin, Qazvin, Iran
2 - Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
3 - faculty member of computer Engineering, Department of Electrical Engineering and Computer, Qazvin, Iran
کلید واژه: Smart city, Internet of Things, Security, Privacy, Fog computing, Artificial intelligence,
چکیده مقاله :
The rapid expansion of IoT technology has given rise to smart cities, but their complex architecture poses security challenges at various levels. Security and privacy are paramount requirements in the development of smart cities, particularly with the proliferation of IoT devices and data-driven systems.Since the privacy and security of smart city data in the IoT is a very up-to-date topic, researchers have addressed this issue, and several review articles have been conducted in this field. Addressing the intricate challenges posed by these advancements is crucial to safeguarding sensitive information against evolving attack vectors. This paper introduces a systematic literature review method to investigate privacy and security in IoT-based smart cities, analyzing research from 2016-2024. We present a taxonomy based on smart city architecture, categorizing privacy and security into low, middle, and high levels. This study reviews and categorizes articles, discusses their findings, methods, benefits, and drawbacks, and highlights future research areas in smart city security and privacy.
The rapid expansion of IoT technology has given rise to smart cities, but their complex architecture poses security challenges at various levels. Security and privacy are paramount requirements in the development of smart cities, particularly with the proliferation of IoT devices and data-driven systems.Since the privacy and security of smart city data in the IoT is a very up-to-date topic, researchers have addressed this issue, and several review articles have been conducted in this field. Addressing the intricate challenges posed by these advancements is crucial to safeguarding sensitive information against evolving attack vectors. This paper introduces a systematic literature review method to investigate privacy and security in IoT-based smart cities, analyzing research from 2016-2024. We present a taxonomy based on smart city architecture, categorizing privacy and security into low, middle, and high levels. This study reviews and categorizes articles, discusses their findings, methods, benefits, and drawbacks, and highlights future research areas in smart city security and privacy.
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