A Signal Verification Approach to Cognitive Radio Network Security

Tanzin Farhat; Ahmad Y. Javaid; Vijay Devabhaktuni; Zhiqiang Wu

doi:10.1109/NAECON.2018.8556763

A Signal Verification Approach to Cognitive Radio Network Security

Tanzin Farhat, Ahmad Y. Javaid, Vijay Devabhaktuni, Zhiqiang Wu

Wright State University

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, we propose a learning method for the security of CRN which can be used to identify known signals and thus report any unexpected behavior or signals in the network.

Original language	American English
Journal	Proceedings of the IEEE National Aerospace Electronics Conference, NAECON
Volume	2018-July
DOIs	https://doi.org/10.1109/NAECON.2018.8556763
State	Published - Dec 3 2018

Keywords

Cognitive Radio Network, CRN security, Neural Network, SDR

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Cite this

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title = "A Signal Verification Approach to Cognitive Radio Network Security",

abstract = " In this paper, we propose a learning method for the security of CRN which can be used to identify known signals and thus report any unexpected behavior or signals in the network.",

keywords = "Cognitive Radio Network, CRN security, Neural Network, SDR",

author = "Tanzin Farhat and Javaid, {Ahmad Y.} and Vijay Devabhaktuni and Zhiqiang Wu",

year = "2018",

month = dec,

day = "3",

doi = "10.1109/NAECON.2018.8556763",

language = "American English",

volume = "2018-July",

journal = "Proceedings of the IEEE National Aerospace Electronics Conference, NAECON",

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T1 - A Signal Verification Approach to Cognitive Radio Network Security

AU - Farhat, Tanzin

AU - Javaid, Ahmad Y.

AU - Devabhaktuni, Vijay

AU - Wu, Zhiqiang

PY - 2018/12/3

Y1 - 2018/12/3

N2 - In this paper, we propose a learning method for the security of CRN which can be used to identify known signals and thus report any unexpected behavior or signals in the network.

AB - In this paper, we propose a learning method for the security of CRN which can be used to identify known signals and thus report any unexpected behavior or signals in the network.

KW - Cognitive Radio Network, CRN security, Neural Network, SDR

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U2 - 10.1109/NAECON.2018.8556763

DO - 10.1109/NAECON.2018.8556763

M3 - Article

VL - 2018-July

JO - Proceedings of the IEEE National Aerospace Electronics Conference, NAECON

JF - Proceedings of the IEEE National Aerospace Electronics Conference, NAECON

ER -

A Signal Verification Approach to Cognitive Radio Network Security

Abstract

Keywords

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