Harnessing the Blockchain Technology in Unveiling Futuristic Applications

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Blockchain Infrastructures and Enabled Applications".

Deadline for manuscript submissions: 15 June 2025 | Viewed by 3563

Special Issue Editors


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Guest Editor
School of Computing, Engineering and Physical Sciences, University of the West of Scotland, Lanarkshire, Scotland
Interests: next-generation networking; blockchain technologies; intrusion detection; network security; cyber security; deep learning; and IoT
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Special Issue Information

Dear Colleagues,

In recent years, blockchain technology has garnered significant attention for its potential to revolutionize traditional systems and processes across various industries. Blockchain, originally developed as the underlying technology for cryptocurrencies like Bitcoin, has transcended its initial application to emerge as a versatile tool with far-reaching implications. Its core principles of decentralization, immutability, and cryptographic security make it an ideal candidate for addressing the challenges faced by modern society. By leveraging blockchain's distributed ledger technology, organizations can solve some of the long-standing challenges in the field, like managing data in zero-trust cooperative entities.

In this context, exploring the impact of blockchain technology on various aspects of modern society, for example, in healthcare, supply chain management, smart cities, smart industry, cyber security, etc., becomes imperative. By delving into the potential synergies between blockchain and modern-day applications, organizations can unlock new possibilities for achieving the United Nations’s Sustainable Development Goals (UN SDGs). This research seeks to elucidate the transformative power of blockchain in reshaping the future of modern social landscapes, offering insights into how this innovative technology can be harnessed to navigate the challenges of an increasingly interconnected digital world.

The topics of interest include, but are not limited to, the following:

  • Applications of blockchain technology in smart cities;
  • Applications of blockchain technology in intelligent manufacturing, industry 5.0, and industry 6.0;
  • Supply chain management using blockchain technology;
  • Blockchain technology and cyber security;
  • Using quantum computing in blockchain technology;
  • Blockchain technology in the finance sector and cryptocurrency;
  • Blockchain technology in the healthcare sector;
  • Supporting the Internet of Things using blockchain technology;
  • World Wide Web 3 (WWW3).

Dr. Raman Singh
Dr. Shantanu Pal
Guest Editors

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Keywords

  • blockchain technology
  • smart contracts
  • smart city
  • decentralized application
  • World Wide Web 3

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Published Papers (5 papers)

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Research

42 pages, 2946 KiB  
Article
The Development of User-Centric Design Guidelines for Web3 Applications: An Empirical Study
by Polina Bobrova and Paolo Perego
Computers 2025, 14(2), 46; https://doi.org/10.3390/computers14020046 - 1 Feb 2025
Viewed by 280
Abstract
The design of Web3 applications presents unique challenges due to their complex technical requirements. Despite the increasing spread of this technology, there is a notable lack of comprehensive, empirically grounded design guidelines for developing user-friendly Web3 interfaces. This study addresses this gap through [...] Read more.
The design of Web3 applications presents unique challenges due to their complex technical requirements. Despite the increasing spread of this technology, there is a notable lack of comprehensive, empirically grounded design guidelines for developing user-friendly Web3 interfaces. This study addresses this gap through a systematic three-phase approach: (1) developing initial guidelines from a literature review and industry sources (n = 31), (2) conducting evaluations using a 14-point framework based on the initial guidelines to test its effectiveness across diverse Web3 applications (n = 25), and (3) validating refined guidelines through expert evaluation sessions (n = 7). Expert evaluations highlighted the need for task-oriented rather than category-based organization of design principles. Based on these findings, we developed a structured framework organizing guidelines into four key task flows, each with three implementation levels. The framework emphasizes progressive disclosure of blockchain concepts, integrated user education, and clear state visualization. Our findings contribute to academic discussion and industry practice by providing empirically validated patterns for Web3 interface design. This study lays a foundation for creating more accessible and user-friendly decentralized applications, though future work should focus on longitudinal validation and adaptation to emerging technologies. Full article
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18 pages, 1697 KiB  
Article
Reputation-Based Leader Selection Consensus Algorithm with Rewards for Blockchain Technology
by Munir Hussain, Amjad Mehmood, Muhammad Altaf Khan, Rabia Khan and Jaime Lloret
Computers 2025, 14(1), 20; https://doi.org/10.3390/computers14010020 - 8 Jan 2025
Viewed by 709
Abstract
Blockchain technology is an emerging decentralized and distributed technology that can maintain data security. It has the potential to transform many sectors completely. The core component of blockchain networks is the consensus algorithm because its efficiency, security, and scalability depend on it. A [...] Read more.
Blockchain technology is an emerging decentralized and distributed technology that can maintain data security. It has the potential to transform many sectors completely. The core component of blockchain networks is the consensus algorithm because its efficiency, security, and scalability depend on it. A consensus problem is a difficult and significant task that must be considered carefully in a blockchain network. It has several practical applications such as distributed computing, load balancing, and blockchain transaction validation. Even though a lot of consensus algorithms have been proposed, the majority of them require many computational and communication resources. Similarly, they also suffer from high latency and low throughput. In this work, we proposed a new consensus algorithm for consortium blockchain for a leader selection using the reputation value of nodes and the voting process to ensure high performance. A security analysis is conducted to demonstrate the security of the proposed algorithm. The outcomes show that the proposed algorithm provides a strong defense against the network nodes’ abnormal behavior. The performance analysis is performed by using Hyperledger Fabric v2.1 and the results show that it performs better in terms of throughput, latency, CPU utilization, and communications costs than its rivals Trust-Varying Algo, FP-BFT, and Scalable and Trust-based algorithms. Full article
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35 pages, 534 KiB  
Article
Blockchain-Enabled Pension System Innovations: A Hungarian Case Study on Business Process Management Integration
by Dániel Kovács, Bálint Molnár and Viktor Weininger
Computers 2024, 13(12), 345; https://doi.org/10.3390/computers13120345 - 18 Dec 2024
Viewed by 791
Abstract
This paper explores the integration of Business Process Management (BPM) with blockchain technology to enhance pension systems, using Hungary as a case study. Specifically, it addresses scientific challenges related to data access management, regulatory compliance, and system scalability within blockchain-based pension frameworks. This [...] Read more.
This paper explores the integration of Business Process Management (BPM) with blockchain technology to enhance pension systems, using Hungary as a case study. Specifically, it addresses scientific challenges related to data access management, regulatory compliance, and system scalability within blockchain-based pension frameworks. This study investigates how BPM can improve the transparency, efficiency, and security of blockchain applications in pension administration by optimizing workflows and automating compliance with regulations such as GDPR. By analyzing operational flow diagrams and implementing architectural models, this paper presents an innovative approach to pension management, demonstrating significant improvements in service quality and operational efficiency. Findings from this research provide empirical evidence of the benefits of BPM-enhanced blockchain systems, offering insights applicable to pension systems beyond the Hungarian context, including examples from other countries. Full article
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20 pages, 1529 KiB  
Article
Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL
by Sunila Fatima Ahmad, Zahra Abbas, Madiha Haider Syed, Adeel Anjum and Semeen Rehman
Computers 2024, 13(12), 317; https://doi.org/10.3390/computers13120317 - 28 Nov 2024
Viewed by 553
Abstract
Federated Learning (FL) can be defined as an effective solution for using the benefits of machine learning (ML) in distributed systems, in which the data of the clients remain protected. However overlaid challenges affecting today’s FL systems are centered on time optimization, scalability, [...] Read more.
Federated Learning (FL) can be defined as an effective solution for using the benefits of machine learning (ML) in distributed systems, in which the data of the clients remain protected. However overlaid challenges affecting today’s FL systems are centered on time optimization, scalability, and security. To these challenges, this paper responds with a new solution comprising the dynamic cohort creation via smart contracts and a hierarchical blockchain approach. Firstly, the research utilizes smart contracts for the dynamic tracking of cohorts in real time and addresses a two-tier blockchain structure for safety and efficiency in storage. In addition, Gaussian Differential Privacy (GDP) is used as a privacy-preserving mechanism that adds controlled noise to the data or model updates to protect individual data points from being inferred by adversaries. The method we are proposing includes four practical steps that include efficient update validation and aggregation; this will enhance training time, and increase model accuracy as well as data confidentiality. The standard dataset is used to show enhanced performance and scalability which validates this method. Based on the above investigations, it could be concluded that the proposed approach improves FL efficiency and creates a new direction in the development of secure, accurate, and scalable ML. The present study indicates that the implementation of blockchain with FL fortified by GDP will establish a novel innovation between intelligent and safe Artificial Intelligence (AI) architecture for safeguarding the privacy of ML system. Full article
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16 pages, 1575 KiB  
Article
A Secure and Verifiable Blockchain-Based Framework for Personal Data Validation
by Junyan Yu, Ximing Li and Yubin Guo
Computers 2024, 13(9), 240; https://doi.org/10.3390/computers13090240 - 23 Sep 2024
Viewed by 830
Abstract
The online services provided by the Service Provider (SP) have brought significant convenience to people’s lives. Nowadays, people have grown accustomed to obtaining diverse services via the Internet. However, some SP utilize or even tamper with personal data without the awareness or authorization [...] Read more.
The online services provided by the Service Provider (SP) have brought significant convenience to people’s lives. Nowadays, people have grown accustomed to obtaining diverse services via the Internet. However, some SP utilize or even tamper with personal data without the awareness or authorization of the Data Provider (DP), a practice that seriously undermines the authenticity of the DP’s authorization and the integrity of personal data. To address this issue, we propose a Verifiable Authorization Information Management Scheme (VAIMS). During the authorization process, the authorization information and personal data fingerprints will be uploaded to the blockchain for permanent record, and then the SP will store such authorization information and personal data. The DP generates corresponding authorization fingerprints based on the authorization information and stores them independently. Through the authorization information and authorization fingerprints on the chain, the DP can verify the authenticity of the authorization information stored by the SP at any time. Meanwhile, by leveraging the personal data fingerprint on the blockchain, the DP can check whether the personal data stored by the SP has been tampered with. Additionally, the scheme incorporates database technology to accelerate data query. We implemented a VAIMS prototype on Etherum, and experiments demonstrate that the scheme is effective. Full article
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