9Blockchain for Internet of Things and Machine Learning-Based Automated Sectors
Amit Kumar Tyagi1*, Shabnam Kumari2 and Shrikant Tiwari3
1Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, Delhi, India
2Department of Computer Science, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India
3School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, Uttar Pradesh, India
Abstract
The convergence of Blockchain technology with the Internet of Things (IoT) and Machine Learning (ML) heralds a transformative era for automated sectors. This chapter discusses the integration of Blockchain to fortify the security, transparency, and efficiency of data transactions within IoT networks and the application of ML algorithms in automating decision-making processes. The convergence of Blockchain and IoT addresses inherent challenges of data integrity and security in the large ecosystem of interconnected devices. By using distributed ledger principles, this synergy ensures tamper-resistant record-keeping, secure data sharing, and streamlined communication protocols. The result is a robust foundation for reliable and trustful interactions between IoT devices, mitigating vulnerabilities, and enhancing the overall resilience of automated systems. Furthermore, the integration of ML algorithms into automated sectors opens avenues for intelligent decision-making, predictive ...
Get Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
