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A Systematic Review of Adoption of Blockchain and Machine Learning Technology and Its Application

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Soft Computing for Security Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1397))

Abstract

This research work provides a systematic review on blockchain-based applications present across multiple domains. Also, a comprehensive classification of technology applications across diverse sectors such as healthcare, supply chain, education, automobile industry, etc. has been presented. The twenty-first century has introduced significant innovations and discoveries that have completely changed our lives. In this way, Computers were first introduced followed by the internet, internet of things, and this has recently resulted in the introduction of “Blockchain” technology. This technology is considered as the most important innovation since the internet, and it is also known as the future internet since it creates a decentralized network chain. It has huge potential to impact, disrupt, and change human activities. Also, blockchain becomes an ideal tool for creating a trust-based solution. Nowadays several private, public sector firms, and government organizations are initiating new research work in the blockchain domain. This paper discusses innovative ideas, technologies, and its real-time applications by considering different industries, where blockchain can be applied to create new business opportunities.

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Tiwari, S., Dhanda, N., Dev, H. (2022). A Systematic Review of Adoption of Blockchain and Machine Learning Technology and Its Application. In: Ranganathan, G., Fernando, X., Shi, F., El Allioui, Y. (eds) Soft Computing for Security Applications . Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_6

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