Springer SPIoT-2021 Vol 1 - Machine Learning for IoT Security

Explore the latest developments in digital protection with the proceedings from the 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021). Published by Springer, this volume serves as a detailed record of the online conference held on October 30, 2021. This text covers essential themes in information technology, science, and engineering. It focuses on how machine learning and big data analytics can be applied to improve IoT security. Readers will find research on data mining, statistical modeling, and machine learning-based security detecting protocols. By examining these modern methods, the book provides insights into the development of secure IoT environments. It is a valuable resource for professionals and researchers looking to understand how data-driven approaches address the evolving challenges of securing connected devices and networks.