Authors : Vincent Onaji; Lorna Kangethe; Richmond Usoh

Volume/Issue : Volume 11 - 2026, Issue 1 - January

Google Scholar : https://tinyurl.com/3ymtn2jh

Scribd : https://tinyurl.com/vkyrcx8p

DOI : https://doi.org/10.38124/ijisrt/26jan696

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This research proposes a unified AI-Enabled ICT Resilience Architecture for next-generation communication systems demanding ultra-high availability, security, and verifiable trust. It synthesizes three core pillars into a coherent framework. First, AI and machine learning provide predictive, adaptive resilience through real-time anomaly detection and automated response. Second, blockchain technology establishes decentralized trust, offering immutable audit trails and smart contract-driven policy execution for cryptographically assured actions. Third, a high-availability substrate ensures the underlying network can support these intelligent operations. A systematic review and thematic meta-analysis of contemporary literature confirm that the synergistic integration of these technologies creates a transformative "cognitive resilience loop." This loop enables continuous AI-driven monitoring, blockchain-verified decision-making, and assured, self- healing actuation. The architecture directly addresses the limitations of static, manual defenses, advancing toward autonomous, trustworthy, and resilient digital infrastructures for critical applications.

Keywords : AI-Enabled ICT Resilience, High-Availability Communication Systems, Secure Network Architecture, Blockchain- Assured Communication, Fault-Tolerant System Design, and AI-Driven Security and Reliability.

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