Detailed Information

Cited 268 time in webofscience Cited 432 time in scopus
Metadata Downloads

Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city

Authors
Singh, SaurabhSharma, Pradip KumarYoon, ByungunShojafar, MohammadCho, Gi HwanRa, In-Ho
Issue Date
Dec-2020
Publisher
ELSEVIER
Keywords
Blockchain; Artificial intelligence; Security; Internet of things; Sustainable smart city; Intelligence transport system
Citation
SUSTAINABLE CITIES AND SOCIETY, v.63
Indexed
SCIE
SCOPUS
Journal Title
SUSTAINABLE CITIES AND SOCIETY
Volume
63
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/5833
DOI
10.1016/j.scs.2020.102364
ISSN
2210-6707
2210-6715
Abstract
In the digital era, the smart city can become an intelligent society by utilizing advances in emerging technologies. Specifically, the rapid adoption of blockchain technology has led a paradigm shift to a new digital smart city ecosystem. A broad spectrum of blockchain applications promise solutions for problems in areas ranging from risk management and financial services to cryptocurrency, and from the Internet of Things (IoT) to public and social services. Furthermore, the convergence of Artificial Intelligence (AI) and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advancements in technologies bring both opportunities and challenges when it comes to achieving the goals of creating a sustainable smart cities. This paper provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. This work presents a detailed discussion of several key factors for the convergence of Blockchain and AI technologies that will help form a sustainable smart society. We discuss blockchain security enhancement solutions, summarizing the key points that can be used for developing various blockchain-AI based intelligent transportation systems. Also, we discuss the issues that remain open and our future research direction, this includes new security suggestions and future guidelines for a sustainable smart city ecosystem.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Industrial and Systems Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoon, Byung Un photo

Yoon, Byung Un
College of Engineering (Department of Industrial and Systems Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE