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Electronics
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Advances in Blockchain Challenges
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Advances in Blockchain Challenges

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 May 2025) | Viewed by 5345

Special Issue Editors

Dr. Yun-Cheng Tsai

E-Mail Website
Guest Editor
Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei City 10610, Taiwan
Interests: data science; FinTech; AI agent design; blockchain
Dr. Samuel Yen-Chi Chen

E-Mail Website
Guest Editor
Wells Fargo Bank, New York, NY 10017, USA
Interests: quantum AI; privacy preserving machine learning; distributed computing

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue on "Advances in Blockchain Challenges", inviting researchers, practitioners, and experts to contribute cutting-edge research and innovative solutions that address the evolving challenges in blockchain technology. With blockchain’s rapid expansion into various industries, such as finance, healthcare, supply chain management, and carbon credit markets, overcoming critical obstacles—scalability, security, privacy, and fraud detection—has never been more pressing.

While blockchain offers decentralized and immutable record-keeping systems, several challenges hinder its full potential. Issues such as limited scalability, high energy consumption, privacy concerns, regulatory hurdles, and transparency in fraud prevention pose significant barriers to widespread adoption. As industries increasingly integrate blockchain to improve transparency, security, and sustainability, addressing these challenges through advanced research and innovative approaches is crucial.

This Special Issue highlights recent advancements in blockchain technology that tackle these obstacles. Topics of interest include but are not limited to the following:

  • Scalability Solutions: Novel approaches to enhance transaction throughput, reduce latency, and improve consensus mechanisms in large-scale blockchain systems.
  • Privacy-Preserving Techniques: Advanced cryptographic methods, such as zero-knowledge proofs, homomorphic encryption, and privacy-preserving quantum AI, to ensure user privacy and data security on blockchain platforms.
  • Energy Efficiency: Research on reducing the environmental impact of blockchain systems, including energy-efficient consensus algorithms and the integration of green technologies.
  • Quantum-Resistant Blockchain: Exploring quantum computing’s impact on blockchain security, including developing quantum-resistant cryptographic protocols and quantum machine learning algorithms that enhance blockchain resilience.
  • Blockchain for Carbon Credit Trading: Papers that explore the role of blockchain and smart contracts in carbon credit markets, emphasizing transparency, fraud detection, and compliance with mechanisms such as the Carbon Border Adjustment Mechanism (CBAM) and the Clean Competition Act (CCA). These papers should highlight how blockchain can improve carbon trading efficiency and support sustainability goals.

Dr. Yun-Cheng Tsai
Dr. Samuel Yen-Chi Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • blockchain scalability
  • privacy-preserving blockchain
  • quantum-resistant blockchain
  • carbon credit trading
  • blockchain fraud detection

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

21 pages, 826 KiB  
Article
Blockchain-Assisted QoS-Aware Routing for Software-Defined Wide Area Network
by Md Mahfuzur Rahman
Electronics 2025, 14(10), 1949; https://doi.org/10.3390/electronics14101949 - 10 May 2025
Viewed by 265
Abstract
Cloud computing revolutionizes the way computing resources are managed, delivered, and accessed as it aims to provide the notion of unlimited resources (e.g., computing services, storage, applications, etc.) over the internet with a flexible model for accessing them. Cloud computing performs the required [...] Read more.
Cloud computing revolutionizes the way computing resources are managed, delivered, and accessed as it aims to provide the notion of unlimited resources (e.g., computing services, storage, applications, etc.) over the internet with a flexible model for accessing them. Cloud computing performs the required computations at its data centers, and the remote end-users are highly dependent on the provided internet facilities by the network providers like Internet Service Providers (ISPs) to avail the services provided by the cloud. In most cases, cloud-based architecture cannot ensure the Quality of Service (QoS) aspects of the provided remotely located services due to the high dependencies on the internet. Such limitations of traditional cloud computing models can be addressed with the advent of edge computing by bringing computation closer to the consumer or by considering data storage closer to the source of data generation. While edge computing effectively addresses latency issues inherent in cloud computing, it does not entirely overcome the requirement for high computational resources and related network dependency associated with accessing cloud services. On the traditional internet, it is a challenge for the intermediary ISPs to ensure the QoS required by their direct and indirect end-users to avail cloud services. The software-defined wide area network (SD-WAN) has emerged as a promising architecture for the next generation of wide area networks (WANs) where providers can enhance their cooperation, specifically in ensuring QoS aspects. In this article, a QoS-aware routing protocol using SD-WAN is proposed to fulfill the stringent QoS requirements for cloud services. Additionally, a blockchain-based trading model is proposed to address the challenge of providing financial benefits to the ISPs in an automated and trustworthy manner for their provided support in satisfying the required QoS with additional or special workload of routing state management. Finally, this research leverages the dynamic network management capability to address the challenges of accessing cloud services with any QoS requirement. Full article
(This article belongs to the Special Issue Advances in Blockchain Challenges)
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15 pages, 5155 KiB  
Article
Enhancing Transparency and Fraud Detection in Carbon Credit Markets Through Blockchain-Based Visualization Techniques
by Yun-Cheng Tsai
Electronics 2025, 14(1), 157; https://doi.org/10.3390/electronics14010157 - 2 Jan 2025
Viewed by 4537
Abstract
Net-zero emission targets require transparent and efficient carbon credit trading systems. This paper introduces a blockchain-based data visualization framework to enhance decision-making in the production and logistics sectors by simplifying blockchain transaction records and identifying potential arbitrage activities. The framework integrates real-time decision [...] Read more.
Net-zero emission targets require transparent and efficient carbon credit trading systems. This paper introduces a blockchain-based data visualization framework to enhance decision-making in the production and logistics sectors by simplifying blockchain transaction records and identifying potential arbitrage activities. The framework integrates real-time decision support tools, enabling production system managers to monitor carbon offset activities, detect fraudulent behaviors, and streamline operations. This research provides actionable insights into supply chain emissions management and operational risk reduction by leveraging advanced visualization techniques. The proposed approach offers innovative solutions to address the complexities of blockchain-based carbon trading, emphasizing transparency and sustainability. Our analysis demonstrates the effectiveness of these techniques in mitigating fraud and supporting compliance with international carbon trading standards. The findings contribute to integrating advanced technologies into sustainable production systems, offering practical implications for achieving global climate change mitigation goals and fostering a more efficient and secure carbon credit market. Full article
(This article belongs to the Special Issue Advances in Blockchain Challenges)
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