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2020 | OriginalPaper | Chapter

Physical Layer Security of Cognitive IoT Networks

Authors : Güneş Karabulut Kurt, Özge Cepheli

Published in: Towards Cognitive IoT Networks

Publisher: Springer International Publishing

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Abstract

Internet of Things (IoT) networks have the potential to drastically change our daily lives with a diverse set of applications. Healthcare, manufacturing, transportation and various other industries may encounter their impacts. As the IoT nodes evolve, it is only natural to expect an increase in their capabilities. Cognitive IoT (CIoT) networks contain IoT nodes with cognitive capabilities that can sense, and analyze the environment. These nodes can also act based on their analysis results. With such a potential, CIoT networks may also become a target for malicious users or attackers. In this chapter, we provide an overview of the main security requirements. Main attack types are summarized. Possible attacks on the CIoT nodes, including primary user emulation attacks, sensing data falsification attacks, objective function attacks and eavesdropping attacks are detailed. A case study targeting primary user emulation and sensing data falsification attacks based on a trust metric is detailed. Open issues are also highlighted.

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previous chapter Cognitive Radio Engine Design for IoT Using Monarch Butterfly Optimization and Fuzzy Decision Making
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Metadata
Title
Physical Layer Security of Cognitive IoT Networks
Authors
Güneş Karabulut Kurt
Özge Cepheli
Copyright Year
2020
Book
Towards Cognitive IoT Networks

Print ISBN: 978-3-030-42572-2

Electronic ISBN: 978-3-030-42573-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-42573-9_8