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

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Description

This Springer publication contains 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 volume covers significant advancements in information technology, science, and engineering. The text explores essential themes including novel machine learning and big data analytics methods specifically designed for IoT security. Readers will find detailed research on data mining, statistical modelling for secure IoT environments, and machine learning-based security detecting protocols. This volume serves as a technical resource for understanding the latest trends and developments that drive the evolution of IoT security and privacy.

Key Features

Contains the complete proceedings from the SPIoT-2021 online conference held on October 30, 2021.

Published by Springer as part of the Lecture Notes on Computer Science and Communications Technologies series.

Covers advanced machine learning and big data analytics methods tailored for IoT security applications.

Includes research on data mining and statistical modelling techniques for maintaining secure IoT environments.

Provides technical insights into machine learning-based security detecting protocols for modern IoT systems.

Product Specifications

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

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No barcode data available

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