Blockchain and AI: Securing Intelligent Networks for the Future
Joy Dutta, Hossien B. Eldeeb, Tu Dac Ho

TL;DR
This paper synthesizes blockchain and AI security for intelligent networks, providing a taxonomy, integration patterns, and an evaluation blueprint to guide future research and practical implementations.
Contribution
It offers a comprehensive taxonomy, integration patterns, and a security evaluation blueprint for blockchain-AI systems in intelligent networks.
Findings
Strong conceptual fit across domains but uneven real-world evidence
Blockchain provides provenance, trust, and auditability
AI offers detection, adaptation, and orchestration capabilities
Abstract
Blockchain and artificial intelligence (AI) are increasingly proposed together for securing intelligent networks, but the literature remains fragmented across ledger design, AI-driven detection, cyber-physical applications, and emerging agentic workflows. This paper synthesizes the area through three reusable contributions: (i) a taxonomy of blockchain-AI security for intelligent networks, (ii) integration patterns for verifiable and adaptive security workflows, and (iii) the Blockchain-AI Security Evaluation Blueprint (BASE), a reporting checklist spanning AI quality, ledger behavior, end-to-end service levels, privacy, energy, and reproducibility. The paper also maps the evidence landscape across IoT, critical infrastructure, smart grids, transportation, and healthcare, showing that the conceptual fit is strong but real-world evidence remains uneven and often prototype-heavy. The…
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