State-of-the-art solutions of blockchain technology for data dissemination in smart cities: A comprehensive review

Mohd Shari, Nur Fadhilah and Malip, Amizah (2022) State-of-the-art solutions of blockchain technology for data dissemination in smart cities: A comprehensive review. Computer Communications, 189. pp. 120-147. ISSN 0140-3664, DOI

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The concept of a smart city has been introduced to address the shortfalls of urbanization. The aid of technologies in smart cities is envisioned to be the key initiative to mitigate these challenges. However, the technologies exposure imposes challenging issues for the traditional centralized data dissemination schemes in smart cities. Consequently, smart city is undergoing a transition to a decentralized system through the implementation of blockchain technology. This paper presents an extensive survey of blockchain applicability for data dissemination in smart cities. We focus on the components of smart: transportation, healthcare, education, energy and building in smart cities and analyze state-of-the-art work on the integration of these components with blockchain. We discuss the advantages and shortcomings of existing literature and evaluate the performance efficiency and the extent of security and privacy achieved. The analysis leads to our new design of a secure smart city data dissemination framework using blockchain technology. To the best of our knowledge, this is the first comprehensive abstraction in the literature that can be utilized for the designation of future blockchain-smart cities data dissemination schemes with the inclusion of participating entities. Finally, we present open research issues and challenges and discuss future research directions.

Item Type: Article
Funders: Ministry of Education Malaysia - SLAI Universiti Malaya [Grant No:FRGS/1/2019/STG06/UM/02/7 (FP040-2019A)]
Uncontrolled Keywords: Blockchain; Smart cities; Data dissemination; Security; Privacy
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 09 Oct 2023 06:29
Last Modified: 09 Oct 2023 06:29

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