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Electronics
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Big Data and Blockchain Technologies: Explorations, Solutions and Applications
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Big Data and Blockchain Technologies: Explorations, Solutions and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 3963

Special Issue Editors

Dr. Amin Karami

E-Mail Website
Guest Editor
Department of Computer Science and Digital Technologies, University of East London (UEL), London E16 2RD, UK
Interests: big data technologies; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. Mustansar Ali Ghazanfar

E-Mail Website
Guest Editor
Computer Science and Digital Technologies, University of East London (UEL), London E16 2RD, UK
Interests: machine learning; deep learning; data science; predictive modelling; recommender systems
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Awais Azam

E-Mail Website
Guest Editor
Technology Innovation Research Group, School of Information Technology, Wellington 6145, New Zealand
Interests: ambient intelligence; IoT; mobile sensing; human behavior analysis

Special Issue Information

Dear Colleagues,

Big data technologies have recently emerged as an important research area being considered as a replacement for traditional data-processing applications when traditional techniques are not capable enough to deal with massive, complex, and new forms of data. In the context of big data, traditional methodologies and platforms have slow responsiveness, and a lack of scalability, fault-tolerance, performance, and accuracy. Hence, exploring new architecture, frameworks, security development, and advanced programming models for big data is the only way through which these massive and new forms of data can be handled in the proper way.

On the other hand, blockchain technology has received enormous attention since Bitcoin was launched in 2009 and has become the frontier in technology advancements and application innovations in recent years. Blockchain is now recognized as a critical part of modern technologies and is tightly interconnected with them, i.e., with big data (BD), artificial intelligence (AI), and cloud computing (CC). Hence, many research challenges and opportunities remain to be tackled in these multidisciplinary areas such as the utilization of Blockchain technologies in BD-, AI-, and CC-based applications to design and develop decentralized infrastructures, governance, secure and protected (privacy) systems, and many more.

The aim of this Special Issue is to highlight novel and high-quality research works on big data and blockchain technologies and applications (in combination or separately), and to examine the current and future impact of blockchain systems and big data solutions on each other in business sectors such as finance, insurance, healthcare, manufacturing, supply chains, education, government, and more. Both theoretical studies and state-of-the-art practical applications are welcome for submission. All submitted papers will be peer-reviewed and selected based on both the quality and the relevance to this Special Issue. The list of possible topics includes, but is not limited to:

  • Architecture, framework, and standard design for big data and blockchain applications;
  • Innovative big data and blockchain applications and services for industries;
  • Big data and blockchain governance, ethics, security, privacy, and trust;
  • Big data analytics, machine learning, and blockchain for smart cities and the Internet of Things;
  • Big data visualization;
  • Blockchain applications in metaverse platforms;
  • Data management issues in blockchain and big data systems;
  • Integration of blockchain into the existing business infrastructures with/without the consideration of big data, artificial intelligence, or cloud computing;
  • NFT analysis and design in various business sectors with/without the consideration of big data, artificial intelligence, or cloud computing;
  • Blockchain for big data;
  • Blockchain for cloud/edge/fog computing;
  • Blockchain for artificial intelligence.

Dr. Amin Karami
Dr. Mustansar Ali Ghazanfar 
Dr. Muhammad Awais Azam
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

  • big data
  • large scale data
  • streaming data
  • machine learning for big data and blockchain
  • multimedia big data
  • security and privacy
  • blockchain
  • blockchain for big data
  • blockchain/big data for cloud computing
  • blockchain/big data for artificial intelligence

Published Papers (3 papers)

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Research

27 pages, 2069 KiB  
Article
A Descriptive-Predictive–Prescriptive Framework for the Social-Media–Cryptocurrencies Relationship
by Alexandru-Costin Băroiu and Adela Bâra
Electronics 2024, 13(7), 1277; https://doi.org/10.3390/electronics13071277 - 29 Mar 2024
Viewed by 379
Abstract
The research presented in this paper is the first to introduce a thorough Descriptive-Predictive–Prescriptive (DPP) Framework for comprehending the interaction between social media and cryptocurrencies. Recognizing the underexplored domain of the social-media–cryptocurrency interaction, we delve into its many aspects, better understanding present dynamics, [...] Read more.
The research presented in this paper is the first to introduce a thorough Descriptive-Predictive–Prescriptive (DPP) Framework for comprehending the interaction between social media and cryptocurrencies. Recognizing the underexplored domain of the social-media–cryptocurrency interaction, we delve into its many aspects, better understanding present dynamics, forecasting potential future trajectories, and prescribing best solutions for stakeholders. We evaluate social media speech and behavior connected to cryptocurrencies using big data analytics, translating raw data into meaningful insights using Natural Language Processing (NLP) techniques like sentiment analysis. When applied to an experimental dataset, the DPP nets superior results compared to the baseline approach, displaying an improvement of 3.44% of the Root Mean Square Error (RMSE) metric and 4.59% of the Mean Absolute Error (MAE) metric. The unique DPP framework enables a more in-depth assessment of social media’s influence on cryptocurrency trends, and lays the path for strategic decision-making in this nascent but rapidly developing field of study. Full article
(This article belongs to the Special Issue Big Data and Blockchain Technologies: Explorations, Solutions and Applications)
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22 pages, 1392 KiB  
Article
Blockchain Technology for Monitoring Energy Production for Reliable and Secure Big Data
by Marco Gerardi, Francesca Fallucchi and Fabio Orecchini
Electronics 2023, 12(22), 4660; https://doi.org/10.3390/electronics12224660 - 15 Nov 2023
Cited by 1 | Viewed by 1437
Abstract
The growing adoption of renewable energy sources and the need for more efficient and secure energy grids are revolutionizing the energy sector. Electricity monitoring becomes an issue of utmost importance, as current traditional energy meters have several problems in terms of lack of [...] Read more.
The growing adoption of renewable energy sources and the need for more efficient and secure energy grids are revolutionizing the energy sector. Electricity monitoring becomes an issue of utmost importance, as current traditional energy meters have several problems in terms of lack of transparency, very high operational costs, and the possibility of being easily tampered with. This paper proposes a new system for electricity production metering that leverages blockchain and IoT for decentralized and secure data recording while protecting user privacy and reducing operational costs. The architecture results in improvements over the traditional energy meter. The system also contributes to the generation of big data that is reliable, traceable, error-proof, and highly resistant to cyber attacks. The architectural project outputs are a smart energy meter, a smart contract on the Ethereum blockchain, and a decentralized application to manage the information recording. The experimental prototype outcomes confirm the use of these new technologies to improve energy metering, enhancing efficiency, transparency, and traceability, with reduced costs and increased user privacy. Full article
(This article belongs to the Special Issue Big Data and Blockchain Technologies: Explorations, Solutions and Applications)
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20 pages, 1393 KiB  
Article
Transforming Airport Security: Enhancing Efficiency through Blockchain Smart Contracts
by Ioannis Karamitsos, Maria Papadaki, Khalil Al-Hussaeni and Andreas Kanavos
Electronics 2023, 12(21), 4492; https://doi.org/10.3390/electronics12214492 - 01 Nov 2023
Cited by 2 | Viewed by 1525
Abstract
In the aviation industry, the issuance of airside passes often encounters significant delays, posing logistical challenges and hindering crucial operations. This study delves into the potential of implementing blockchain technology, particularly smart contracts, to streamline and expedite airport security processes. Our analysis of [...] Read more.
In the aviation industry, the issuance of airside passes often encounters significant delays, posing logistical challenges and hindering crucial operations. This study delves into the potential of implementing blockchain technology, particularly smart contracts, to streamline and expedite airport security processes. Our analysis of data from leading UK airports reveals notable inefficiencies in the current airside pass issuance procedures, necessitating a transformative solution. We advocate for the integration of blockchain smart contracts as a pioneering approach to substantially reduce processing times. By automating execution based on predefined conditions, smart contracts have the potential to revolutionize airport security operations. This research signifies a groundbreaking advancement in the use of smart contracts within the airline industry, underscoring the substantial efficiency improvements that can be achieved. As we conclude this study, we foresee further research and practical implementations to unlock the full transformative impact of blockchain technology on aviation security. Full article
(This article belongs to the Special Issue Big Data and Blockchain Technologies: Explorations, Solutions and Applications)
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