Blockchain and Machine Learning Empowered Internet of Things Applications: Current Issues, Challenges and Future Research Opportunities

Two advanced technologies that have the potential to revolutionise the Internet of Things (IoT) ecosystem are blockchain and machine learning, as they address a wide range of issues, including data security, interoperability, and scalability. However, there are a number of barriers to integrating th...

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Bibliographic Details
Published in2023 4th International Conference on Smart Electronics and Communication (ICOSEC) pp. 637 - 647
Main Authors Gomathi, L., Mishra, Anand Kumar, Tyagi, Amit Kumar
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.09.2023
Subjects
Artificial Intelligence
Blockchain
Blockchains
Internet of Things
Machine learning
Medical services
Scalability
Smart agriculture
Smart cities
Smart homes
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Summary:Two advanced technologies that have the potential to revolutionise the Internet of Things (IoT) ecosystem are blockchain and machine learning, as they address a wide range of issues, including data security, interoperability, and scalability. However, there are a number of barriers to integrating these technologies, such as issues with trust, reliability, and governance. This research study summarises the current state of the BML-IoT applications and identifies the challenges and issues encountered in developing these applications. It also discusses possible directions for future research on BML-IoT applications for smart cities, energy management, smart homes, smart agriculture, smart education, and smart healthcare. Overall, this study contributes to a better understanding of the endless possibilities of BML-IoT applications and the research challenges that need to be addressed to fully realise their potential.
DOI:10.1109/ICOSEC58147.2023.10276385