£115.13

Springer SPIoT-2021 Volume 2 - Machine Learning and IoT Security

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Description

This academic volume presents the official proceedings from the 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021). Held as an online conference on October 30, 2021, this publication serves as a vital resource for researchers and professionals working at the intersection of information technology, science, and engineering. The text provides comprehensive coverage of current trends and developments in the field. It focuses on the application of novel machine learning and big data analytics methods specifically designed for IoT security. Readers will find detailed information regarding data mining, statistical modelling for secure IoT environments, and the development of machine learning-based security detecting protocols. This book is an essential addition to the Lecture Notes in Computer Science and Communications Technologies series for those studying the evolution of secure interconnected systems.

Key Features

Covers the proceedings of the SPIoT-2021 international conference held online in October 2021.

Explores novel machine learning and big data analytics methods used for IoT security applications.

Includes research on data mining and statistical modelling techniques for securing IoT networks.

Discusses the development of machine learning-based security detecting protocols for modern systems.

Provides comprehensive coverage of latest trends in information technology, science, and engineering.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 November 2021
Listed Since
17 September 2021

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