Blockchain and Artificial Intelligence Integration for Secure Communication Networks: A Study

Abstract

Modern communication networks handle enormous volumes of sensitive information across cloud platforms, mobile devices, smart systems, and interconnected infrastructures. As these networks become more intelligent and decentralized, concerns related to cyberattacks, unauthorized access, data tampering, and privacy violations continue to grow. Conventional security mechanisms often face limitations in addressing dynamic and large-scale communication environments where trust, transparency, and automated decision-making are equally important. In this context, the integration of Blockchain and Artificial Intelligence (AI) has gained considerable attention as a promising approach for strengthening secure communication networks. Blockchain contributes decentralized trust, immutability, and secure data management, while AI enables intelligent threat detection, predictive analysis, anomaly identification, and automated security responses. This study explores how the combined use of these technologies can improve network protection, optimize communication reliability, and support secure information exchange in next-generation communication systems. Particular attention is given to applications in Internet of Things (IoT), fifth-generation (5G) and sixth-generation (6G) networks, smart cities, edge computing, and autonomous systems. The study also examines practical challenges such as computational overhead, scalability constraints, interoperability issues, energy consumption, privacy risks, and regulatory concerns that may influence large-scale implementation. By reviewing existing developments and emerging research directions, the paper demonstrates that Blockchain–AI integration offers a strong foundation for building resilient, intelligent, and trustworthy communication ecosystems capable of addressing evolving cybersecurity challenges.