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2019 | OriginalPaper | Chapter

Machine Learning Techniques for Recognizing IoT Devices

Authors : Yu Chien Lin, Farn Wang

Published in: New Trends in Computer Technologies and Applications

Publisher: Springer Singapore

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Abstract

Now Internet of Things is growing fast and presents huge opportunities for the industry, the users, and the hackers. IoT service providers may face challenges from IoT devices which are developed with software and hardware originally designed for mobile computing and traditional computer environments. Thus the first line of security defense of IoT service providers is identification of IoT devices and try to analyze their behaviors before allowing them to use the service. In this work, we propose to use machine learning techniques to identify the IoT devices. We also report experiment to explain the performance and potential of our techniques.

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Title: Machine Learning Techniques for Recognizing IoT Devices
Authors: Yu Chien Lin
Farn Wang
Publisher: Springer Singapore
Book: New Trends in Computer Technologies and Applications
Print ISBN: 978-981-13-9189-7

Electronic ISBN: 978-981-13-9190-3

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-981-13-9190-3_74

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