Abstract
Recently, 6G-enabled Internet of Things (IoT) is gaining attention and addressing various challenges of real time application. The artificial intelligence plays a significant role for big data analytics and presents accurate data analysis in real time. However, designing big data analysis through artificial intelligence faces some issues in terms of security, privacy, training data, and centralized architecture. In this article, blockchain-based IoT framework with artificial intelligence is proposed which presents the integration of artificial intelligence and blockchain for IoT applications. The performance of the proposed architecture is evaluated in terms of qualitative and quantitative measurement. For qualitative measurement, how the integration of blockchain and artificial intelligence addresses various issues are described with the description of AI oriented BC and BC oriented AI. The performance evaluation of proposed AI-BC architecture is evaluated and compared with existing techniques in qualitative measurement. The experimental analysis shows that the proposed framework performs better in comparison with the existing state of art techniques.
Highlights
The performance of the proposed architecture is evaluated in terms of qualitative and quantitative measurement
This paper presents the discussion of various issues such as privacy, latency, accuracy, and centralization by the integration of blockchain and artificial intelligence (AI) for Internet of Things (IoT) applications
An integrated blockchain and artificial intelligence based architecture was proposed for IoT application
Summary
A smart city requires information technology for the integration and management of physical, social, and business infrastructures in order to deliver better facilities to its residents while confirming efficient and optimal use of available resources [1]. The integration of the blockchain approach with artificial intelligence for Internet of Things frameworks has addressed various issues such as digital signature, validation, smart contract, decentralization, secure sharing, and immutable explainable artificial intelligence. With the evolution of smart IoT devices and with their interconnections, data at a huge volume is generating in a centralized form Issues such as space, security and privacy are regularly generated by the evolution of technology. Fakhri et al [9] proposed a security model for IoT applications for delivering highly secure and scalable data in a decentralized manner at fog intelligence Their architecture resolves the concern of centralization in an. This paper presents the discussion of various issues such as privacy, latency, accuracy, and centralization by the integration of blockchain and AI for IoT applications.
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