Blockchain-Integrated Edge Computing for Secure and Scalable IoT Networks: A Hybrid AI Approach
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V2I3P103Keywords:
Blockchain, Edge Computing, Artificial Intelligence, IoT Security, Scalability, Data Integrity, Latency Reduction, Resource Optimization, Interoperability, Energy EfficiencyAbstract
The rapid proliferation of Internet of Things (IoT) devices has led to significant challenges in managing data security, scalability, and computational efficiency. Traditional cloud computing models struggle to meet these demands, particularly in resource-constrained environments. This paper proposes a hybrid approach that integrates blockchain technology with edge computing to address these challenges. By leveraging the decentralized and tamper-proof nature of blockchain and the low-latency and high-computational capabilities of edge computing, we aim to create a secure and scalable IoT network. Additionally, we incorporate artificial intelligence (AI) to optimize resource allocation and enhance decisionmaking processes. The paper presents a comprehensive framework, including a detailed architecture, algorithms, and experimental results that demonstrate the effectiveness of the proposed solution
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