A BLOCKCHAIN - ARTIFICIAL INTELLIGENCE CONVERGENCE FRAMEWORK FOR ENHANCED IOT SECURITY
DOI:
https://doi.org/10.15282/ijsecs.11.2.2025.8.0140Keywords:
Artificial Intelligence, Blockchain, Internet of Things, Big Data Analysis, Security and PrivacyAbstract
The Internet of Things (IoT) enables seamless machine-to-machine communication and data sharing, transforming sectors such as smart transportation and urban cities. However, the expansion of industrial IoT generates vast volumes of sensor data, posing significant processing and analytical challenges. Current IoT systems have several limitations, including centralized structures, privacy concerns, limited resource availability, and insufficient training data for AI-powered analytics, which hinder efficient large-scale data processing. This paper introduces BlockIoTIntelligence, a novel architecture that integrates blockchain and artificial intelligence (AI) for decentralized and secure IoT networks. The proposed framework combines blockchain's distributed trust with AI's analytical capabilities to address scalability and security challenges. Experimental evaluation demonstrates BlockIoTIntelligence's outperforms existing frameworks across key metrics, including 15% higher accuracy, 25% lower latency, enhanced security, and privacy compared to existing frameworks. The architecture effectively resolves data processing challenges while maintaining energy efficiency.
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