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Blockchain and Distributed Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 3427

Special Issue Editors


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Guest Editor
Department of Management Science and Technology, University of Patras, 26504 Patras, Greece
Interests: artificial intelligence; data mining; big data; expert systems; computational cognitive science; psychometrics; decision making
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Business Administration, University of Patras, 26504 Patras, Greece
Interests: blockchain; smart contracts; ICT security; cryptography privacy distributed ledger technology; scalability; tokenization

E-Mail Website
Guest Editor
Department of Management Science and Technology, University of Patras, 26504 Patras, Greece
Interests: information systems; computational mathematics; cryptography; distributed database systems; privacy

Special Issue Information

Dear Colleagues,

Blockchain technology has emerged as a disruptive technology and economic growth opportunity, offering novel solutions to decentralized data management, secure transactions, and consensus mechanisms suitable for trustless environments of communicating agents. Concurrently, distributed systems continue to evolve, providing scalable and fault-tolerant architectures for various applications. This Special Issue aims to explore recent advancements, challenges, and future directions in the intersection of blockchain and distributed systems.

Topics of interest include but are not limited to:

  1. Blockchain consensus mechanisms;
  2. Distributed ledger technologies;
  3. Smart contracts and decentralized applications (DApps);
  4. Scalability and performance improvements in blockchain systems;
  5. Interoperability and compatibility among different blockchain platforms;
  6. Privacy, security, and anonymity in blockchain systems;
  7. Applications of blockchain in IoT, healthcare, supply chains, etc.;
  8. Distributed consensus algorithms;
  9. Peer-to-peer network protocols;
  10. Fault tolerance and resilience in distributed systems.

We welcome contributions from researchers, academics, and practitioners in the field of blockchain and distributed systems. Join us in exploring the latest developments and innovations shaping the future of decentralized technologies.

Dr. Constantinos Halkiopoulos
Prof. Dr. Yannis C. Stamatiou
Prof. Dr. Hera Antonopoulou
Guest Editors

Manuscript Submission Information

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Keywords

  • blockchain
  • distributed ledger technology (DLT)
  • decentralized systems
  • distributed consensus mechanisms
  • smart contracts
  • distributed systems
  • peer-to-peer communication
  • scalability
  • security
  • privacy
  • cryptography
  • decentralized applications (DApps)
  • permissioned vs. permissionless blockchains
  • crypto economics
  • tokenization
  • distributed database systems
  • trust models

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Published Papers (1 paper)

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Review

46 pages, 7784 KiB  
Review
Enhancing Decentralized Decision-Making with Big Data and Blockchain Technology: A Comprehensive Review
by Leonidas Theodorakopoulos, Alexandra Theodoropoulou and Constantinos Halkiopoulos
Appl. Sci. 2024, 14(16), 7007; https://doi.org/10.3390/app14167007 - 9 Aug 2024
Viewed by 3034
Abstract
Big data and blockchain technology are coming together to revolutionize how decisions are made in a decentralized way across various industries. This review looks at how these technologies, along with distributed systems, can improve data security, transparency, and real-time processing, making decision-making more [...] Read more.
Big data and blockchain technology are coming together to revolutionize how decisions are made in a decentralized way across various industries. This review looks at how these technologies, along with distributed systems, can improve data security, transparency, and real-time processing, making decision-making more efficient and informed. The integration enhances data security with unchangeable records, increases transparency and traceability, and supports real-time data analysis. However, there are challenges to overcome, including scalability, data privacy, interoperability, regulatory compliance, and high costs. By examining case studies such as Estonia’s healthcare system, IBM and Walmart’s Food Trust, and the Brooklyn Microgrid project, we explore the practical applications and benefits of combining big data with blockchain. Despite these hurdles, the review finds that the ongoing advancements and innovative solutions in these technologies offer significant promise. They are set to drive the adoption and effectiveness of decentralized decision-making, ultimately leading to better efficiency and outcomes across multiple sectors. Full article
(This article belongs to the Special Issue Blockchain and Distributed Systems)
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