Special Issue "Advances of AI and Blockchain technologies for Future Smart City"

Submission Deadline: 31 March 2021 (closed)
Guest Editors
Dr. Jong Hyuk (James) Park, Seoul National University of Science and Technology, South Korea.
Dr. Yi Pan, Georgia State University, USA.
Dr. Neil Y. Yen, The University of Aizu, Japan.


In the vision of Internet of Things (IoT), rapid development of conventional devices, is being supported in various advanced applications, including smart energy, smart vehicles, smart manufacturing, and others. However, there are still challenges to address with deployment of IoT devices in smart city environment, particularly centralization, data integrity, lightweight computational capabilities cost, security and privacy. Recently, Artificial Intelligence (AI) technologies enable smart city services, assets, and methods to offer more powerful, efficient, and automated with machine learning (ML), Deep Learning (DL), Natural language processing (NLP). It provides an improvement in enhancement services for smart city applications and addresses some issues, including computational capability, manual handling, and others. On the other hand, Blockchain has emerged as a key technology that build the trust in distributed infrastructure platform without the use of third party as authority. Blockchain provides practical approaches to enable a secure and decentralized public ledger that has a adopt of new applications in various fields, such as Future Smart City (FSC), Healthcare, Transportation, Agricuture, Industrial Information System (IIS), Education, and others in smart city. So, convergence of AI and Blockchain offers the potential advances in many smart industries or applications for future smart city systems. Cloud and Edge computing, big data analysis have been integrated by AI and blockchain in IoT to address above mention issues and provide secured environment for futute smart city systems. On the other, blockchain ensures that data is private and secure in the distributed network.

The special issue aims at publishing state-of-the-art research contributions in area of Advancement of AI and Blockchain methods for Future Smart City, addressing challenges and issues in smart city applications. It offers the theoretical and practical contributions on advanced smart city applications with AI and Blockchain where challenges to scalable computing, storage, centralization, computational bandwidth, security and privacy, and analytics, are addressed. It provide a forum for experts to disseminate their recent advanced works, views and ideas on future directions in this field.


The topics relevant to this special issue include but are not limited to:

• Blockchain Technologies and Methodologies for future smart city

• State-of-art of the AI and Blockchain technologies for future smart city

• Recent advancement of AI and Blockchain for securing smart city applications

• Emerging trends using Blockchain with AI applications for future smart city

• A new architecture, model schemes, practical solutions in advancement of AI and Blockchain for future smart city

• Deep Learning Classifiers combined with Active Learning for future smart city

• Blockchain-based secure distributed architecture for future smart city

• Blockchain adoption AI scheme for future smart city

• Theory of AI and Blockchain for future smart city

• Blockchain for the Internet of Things (IoT) in future smart city

• Blockchain-enabled secure solution scheme of smart cities applications

• Scalability and efficiency of emerging trends enabled Blockchain with Machine learning for future smart city

• Privacy aspects of IoT and blockchain technologies

• Industrail service discovery in future smart city

• Open issues and challenges in advances of AI and Blockchain

• Blockchain-based decentralized solutions smart cities in future smart city

• Applications of Blockchain for future smart city

• Scheduling and migration in advances of IoT and Blockchain

• Security and Privacy in smart city application using Blockchain

• Medical service orchestration in fog-based healthcare in future smart city

Artificial intelligence, Blockchain, Deep learning, Machine learning, Cloud computing, Fog computing, Edge computing, Smart manufacturing, Industrial applications, Security, Privacy, Energy efficiency, Green IoT (G-IoT), Service management

Published Papers
  • Immersion Analysis Through Eye-Tracking and Audio in Virtual Reality
  • Abstract In this study, using Head Mounted Display (HMD), which is one of the biggest advantage of Virtual Reality (VR) environment, tracks the user’s gaze in 360° video content, and examines how the gaze pattern is distributed according to the user’s immersion. As a result of analyzing the gaze pattern distribution of contents with high user immersion and contents with low user immersion through a questionnaire, it was confirmed that the higher the immersion, the more the gaze distribution tends to be concentrated in the center of the screen. Through this experiment, we were able to understand the factors that make… More
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  • Distributed Trusted Computing for Blockchain-Based Crowdsourcing
  • Abstract A centralized trusted execution environment (TEE) has been extensively studied to provide secure and trusted computing. However, a TEE might become a throughput bottleneck if it is used to evaluate data quality when collecting large-scale data in a crowdsourcing system. It may also have security problems compromised by attackers. Here, we propose a scheme, named dTEE, for building a platform for providing distributed trusted computing by leveraging TEEs. The platform is used as an infrastructure of trusted computations for blockchain-based crowdsourcing systems, especially to securely evaluate data quality and manage remuneration: these operations are handled by a TEE group. First,… More
  •   Views:762       Downloads:648        Download PDF