Blockchain and Big Data Analytics
A Special Issue of Future Internet (ISSN 1999-5903) belonging to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 2423
Editors
Interests: blockchain and smart contracts; cyber security; artificial intelligence and security; legal contracts and natural language processing; metaverse; fuzzy logic; data cooperatives
Special Issues, Collections and Topics in MDPI journals
Interests: smart contracts; blockchain; Dapp; consensus protocols; network security; computer security; artificial intelligence (AI); cyber–AI applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The convergence of blockchain and big data analytics is driving innovation across a wide range of digital ecosystems. Blockchain offers decentralized trust, transparency, and tamper-resistant data management, while big data analytics provides the capability to extract insights from large, dynamic, and diverse datasets. Their integration presents new opportunities for secure, scalable, and intelligent systems across a wide range of sectors such as finance, healthcare, supply chains, and smart cities.
This Special Issue aims to collect high-quality research articles, reviews, and case studies that address the technical challenges and breakthroughs in this area. Topics of interest include blockchain-based frameworks for data integrity and access control, smart contracts, privacy-preserving analytics in decentralized environments, consensus mechanisms adapted for high-throughput data settings, and the use of AI/ML models in blockchain-enhanced applications. We also encourage submissions that explore system-level designs involving sensor data, risk analysis, and secure data sharing, particularly those that relate to complex and data-intensive applications.
Topics of interest include, but are not limited to, the following:
- Blockchain;
- Smart contracts;
- Big data analytics;
- Distributed Ledger Technology (DLT);
- AI and blockchain integration;
- Autonomous vehicles security using blockchain;
- Privacy-preserving computation;
- Secure data sharing;
- Decentralized Applications (dApps);
- Federated learning;
- Data provenance;
- Cybersecurity;
- Risk analysis in decentralized systems;
- Real-time data processing;
- Multi-sensor fusion;
- Secure V2X communication;
- IoT and blockchain;
- Blockchain scalability;
- Consensus mechanisms;
- Edge intelligence.
Dr. Kritagya Upadhyay
Dr. Syed Badruddoja
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 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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet 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
- big data
- artificial intelligence
- federated learning
- cybersecurity
- IoT
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