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Artificial Intelligence (AI) and Blockchain for Networking

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

Deadline for manuscript submissions: 30 March 2026 | Viewed by 17

Special Issue Editors


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Guest Editor
DEPI, TecNM, Instituto Tecnológico de Morelia, Av. Tecnológico No. 1500, Col. Lomas de Santiaguito, Morelia 58120, Michoacán, Mexico
Interests: Artificial Intelligence; machine learning; blockchain

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Guest Editor
Division for Postgraduate Studies, Instituto Tecnológico de Morelia, Morelia 58120, Mexico
Interests: Artificial Intelligence; blockchain; distributed computing; software engineering

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Guest Editor
Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro 76010, Mexico
Interests: life prediction and condition monitoring using Artificial Intelligence; mechanical design; mechanical vibration

Special Issue Information

Dear Colleagues,

The convergence of Artificial Intelligence (AI) and blockchain technologies is transforming the landscape of modern communication networks. This Special Issue aims to explore the synergistic integration of AI algorithms with blockchain frameworks in order to address challenges in network optimization, trust, decentralization, security, and scalability. AI technologies, such as deep learning, reinforcement learning, and intelligent agents, are being increasingly used to improve decision-making, traffic management, anomaly detection, and adaptive control in networking systems. Simultaneously, blockchain offers decentralized architectures that enhance transparency, data integrity, and privacy across heterogeneous networks and IoT ecosystems.

This Special Issue invites original research articles, reviews, and case studies that explore the theoretical models, simulations, and practical implementations of AI and blockchain in networking environments. Topics of interest include secure and intelligent 6G systems, AI-driven consensus mechanisms, decentralized machine learning, smart contract applications in network services, and the role of blockchain in federated learning and edge computing. Through this Special Issue, we aim to foster interdisciplinary insights and promote the development of next-generation intelligent, secure, and resilient network infrastructures.

Prof. Dr. Adriana Téllez-Anguiano
Prof. Dr. Juan Carlos Olivares-Rojas
Prof. Dr. Juan Carlos Jáuregui-Correa
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. Applied Sciences 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

  • artificial intelligence
  • blockchain
  • networking
  • decentralized systems
  • network security
  • 6G networks
  • edge computing
  • federated learning
  • smart contracts
  • trust management

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Published Papers

This special issue is now open for submission.
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