Manuscript received March 3, 2025; accepted April 24, 2025; published June 25, 2025
Abstract—With blockchain technology and Artificial Intelligence (AI) coming together, the digital world is changing quickly and opening up new possibilities for secure, autonomous, and decentralized systems. This paper examines the integration of these disruptive technologies from a security perspective, examining how they might enhance data integrity, privacy, and trust, particularly in light of new network infrastructures like 5G and Internet of Things (IoT) edge settings. The study examines the security flaws in blockchain and Artificial Intelligence (AI) alone and together, highlighting how combining the two can both increase and decrease risks. The difficulties of protecting information and computation across dispersed, low-latency edge nodes in 5G-enabled IoT systems are specifically discussed. The report outlines the main dangers, real-world applications, and future research avenues needed to create reliable and scalable AI-blockchain frameworks for contemporary communication networks. It concludes that strong approaches to interoperability, secure edge deployment, governance, and infrastructure resilience are necessary to fully realise the potential of these technologies.
Keywords—Artificial Intelligence (AI), blockchain, applications, challenges, solutions, attacks
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Cite: Omkar Singh and Col. Rahul Sharma, "A Security-Centric Perspective on AI and Blockchain Integration with Network Infrastructure Security in 5G and IoT Edge Environments," Journal of Advances in Computer Networks, vol. 13, no. 2, pp. 20-30, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).
