IoT-Driven Big Data Analytic to Automate Blockchain Adaptation

Authors

  • Karaka Ramakrishna Reddy Research Scholar, Department of English, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh- 522502, India
  • S. Farhad Associate Professor, Department of English, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh- 522502, India
  • Jayasri Kotti Associate Professor, Department of Information Technology, GMR Institute of Technology, Rajam, Vizianagaram, Andhra Pradesh, India
  • Vaibhav Sonule Assistant Professor, Symbiosis Law School, Pune, Maharashtra, India
  • Elangovan Muniyandy Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
  • Amit Verma University Centre for Research and Development, Chandigarh University, Gharuan Mohali, Punjab, India

Keywords:

IoT, Big data, Automate, Blockchain adaptation, NFT

Abstract

The convergence of Internet of Things (IoT), big data analytics, and blockchain technology presents a transformative paradigm for automating and enhancing blockchain adaptation. By leveraging IoT-driven big data analytics, organizations can seamlessly integrate and analyze vast volumes of data generated by interconnected devices. This wealth of data provides valuable insights into real-world processes, enabling informed decision-making and precise identification of areas where blockchain can bring significant benefits. The interconnected nature of IoT devices facilitates the creation of a transparent and secure data ecosystem, and the data generated becomes the fuel for blockchain adaptation. Through sophisticated analytics, patterns, trends, and anomalies within the data can be identified, informing the development of smart contracts and decentralized applications (DApps) tailored to specific use cases. This approach not only automates the integration of blockchain but also ensures its optimal utilization, addressing challenges such as scalability and interoperability. As a result, the synergy between IoT, big data analytics, and blockchain fosters a dynamic environment where decentralized systems can evolve organically, driven by real-world data insights and adaptive to the evolving needs of diverse industries. Present research is considering total supply, brand, stacking cost and royalty during big data analytic to automate the adaptation of blockchain.

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Published

02.02.2024

How to Cite

Reddy, K. R. ., Farhad, S. ., Kotti, J. ., Sonule, V. ., Muniyandy, E. ., & Verma, A. . (2024). IoT-Driven Big Data Analytic to Automate Blockchain Adaptation. International Journal of Intelligent Systems and Applications in Engineering, 12(14s), 600–608. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4699

Issue

Vol. 12 No. 14s (2024)

Section

Research Article

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