Blockchain and Artificial Intelligence for Next-Generation Network and Cybersecurity
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 20
Special Issue Editors
Interests: cybersecurity in AI; responsible AI; AI robustness and fairness; distributed learning; distributed ledger technology; blockchain; Web3.0
Interests: cybersecurity; blockchain; privacy; network dynamics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on Blockchain and Artificial Intelligence for Next-Generation Network and Cybersecurity seeks to explore how the integration of blockchain and AI can provide robust, intelligent, and scalable solutions for the security and reliability of future communication networks. The focus is on advancing the state of knowledge at the intersection of these technologies to address pressing challenges in both networking and cybersecurity domains.
The scope covers a wide range of research directions. Relevant topics include blockchain protocols for trustworthy and auditable data exchange in 5G and 6G environments, AI-enhanced intrusion detection and anomaly detection in vehicular and edge networks, privacy-preserving federated learning for distributed network infrastructures, decentralized identity and trust management for IoT ecosystems, and adversarial robustness for intelligent network services. We also encourage contributions on governance frameworks, auditing tools, and compliance strategies that ensure practical and regulatory alignment, as well as cross-domain use cases involving smart cities, industrial IoT, and cyber–physical systems.
The purpose is to create a dedicated platform for researchers and practitioners to showcase new methods, frameworks, and applications that combine the decentralized trust of blockchain with the adaptive intelligence of AI. By bringing together advances in next-generation networks, cybersecurity, and privacy, this Special Issue will identify synergies, open challenges, and design patterns that can guide the development of trustworthy digital infrastructures at scale.
In relation to the broader literature, this Special Issue will supplement existing research by bridging work that has traditionally been siloed into separate streams—blockchain for secure networking, AI for network intrusion detection, and blockchain or AI for general cybersecurity. By highlighting their integration, this issue will provide insights into novel attack and defense surfaces, integrated architectures for secure and intelligent networking, and comprehensive approaches that go beyond single-technology perspectives. This integration is especially timely as the deployment of 6G, vehicular networks, and highly distributed IoT systems accelerates.
Dr. Guangsheng Yu
Dr. Xu Wang
Dr. Qin Wang
Guest Editors
Manuscript Submission Information
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Keywords
- blockchain
- artificial intelligence
- next-generation networks
- cybersecurity
- privacy
- 5G
- 6G
- vehicular networks
- IoT
- edge computing
- trust management
- adversarial robustness
- privacy-preserving machine learning
- secure data sharing
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