BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT architecture with Artificial Intelligence

2019 
Abstract In the recent year, an Internet of Things (IoT) is being industrialized in several real-world applications such as smart transportation, smart city to make human life reliable. With the increase industrialization in IoT, an excessive amount of sensing data is being produced from various sensors devices in the Industrial IoT. To analyses such big data, an Artificial Intelligence (AI) plays a significant role as a strong analytic tool and delivers a scalable and accurate analysis of data in real-time. However, design and development of an effective big data analysis tool using AI has some challenges, such as centralized architecture, security, and privacy, resource constraints, lack of enough training data. Conversely, as an emerging technology, a Blockchain supports a decentralized architecture, where a secure sharing of data and resources among various node of IoT network is supported to remove centralized control and can overcome the existing challenges in AI. The main goal of our research is to design and develop an IoT architecture with blockchain and AI to support an effective big data analysis. In this paper, we propose BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence that provides an efficient way of converging blockchain and AI for IoT with current state-of-the-art techniques and applications. We evaluate the proposed architecture in terms of standard measures, such as accuracy, centralization, security and privacy, and latency. The evaluation results demonstrate that the proposed architecture outperforms over the existing IoT architectures and mitigate the existing challenges.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    89
    References
    117
    Citations
    NaN
    KQI
    []