Blockchain and Big Data Analytics: AI-Driven Data Science
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Databases and Data Structures".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 8004
Special Issue Editor
Interests: automation; robotics and communications; industry 4.0/5.0
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of blockchain technology and big data analytics is transforming the landscape of data science and artificial intelligence (AI). Furthermore, as the volume of data continues to grow exponentially, ensuring integrity, transparency, and efficiency in data-driven decision-making is becoming a critical challenge. This Special Issue of Algorithms focuses on novel AI-driven approaches to leverage blockchain for secure, scalable, and decentralized data processing.
This Issue aims to provide a comprehensive view of how AI-driven data science can enhance the synergy between blockchain and big data analytics, fostering innovation in algorithm development and real-world applications.
We invite researchers to submit original contributions on cutting-edge methodologies that combine machine learning, deep learning, and optimization algorithms with blockchain technology for advanced big data analytics. Topics of interest include but are not limited to the following:
- Blockchain-based data sharing, privacy, and security;
- AI-enhanced decentralized machine learning (e.g., federated learning, edge AI);
- Smart contracts for automated data processing and decision-making;
- Consensus algorithms optimized for big data applications;
- Cryptographic techniques for secure AI model training;
- Real-world applications in healthcare, finance, the IoT, and beyond.
Prof. Dr. Sergey Y. Yurish
Guest Editor
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 250 words) can be sent to the Editorial Office for assessment.
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. Algorithms is an international peer-reviewed open access monthly 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 1800 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-based data sharing, privacy, and security
- AI-enhanced decentralized machine learning (e.g., federated learning, edge AI)
- smart contracts for automated data processing and decision-making
- consensus algorithms optimized for big data applications
- cryptographic techniques for secure AI model training
- real-world applications in healthcare, finance, the IoT, and beyond
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