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

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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
Title of host publication	NAECON 2018 - IEEE National Aerospace and Electronics Conference
Publisher	IEEE
Pages	137-143
Number of pages	7
ISBN (Electronic)	978-1-5386-6557-2, 978-1-5386-6556-5
ISBN (Print)	978-1-5386-6558-9
DOIs	https://doi.org/10.1109/NAECON.2018.8556763
State	Published - Dec 3 2018
Event	2018 IEEE National Aerospace and Electronics Conference, NAECON 2018 - Dayton, United States Duration: Jul 23 2018 → Jul 26 2018

Conference

Conference	2018 IEEE National Aerospace and Electronics Conference, NAECON 2018
Country/Territory	United States
City	Dayton
Period	7/23/18 → 7/26/18

ASJC Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering

Keywords

Cognitive Radio Network
CRN security
Neural Network
SDR

Disciplines

Aerospace Engineering
Electrical and Computer Engineering

Access to Document

10.1109/NAECON.2018.8556763License: Unspecified

Cite this

@inproceedings{17c6832a78a74bd3afebb11814fe02da,

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",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE National Aerospace and Electronics Conference, NAECON 2018 ; Conference date: 23-07-2018 Through 26-07-2018",

year = "2018",

month = dec,

day = "3",

doi = "10.1109/NAECON.2018.8556763",

language = "American English",

isbn = "978-1-5386-6558-9",

pages = "137--143",

booktitle = "NAECON 2018 - IEEE National Aerospace and Electronics Conference",

publisher = "IEEE",

}

TY - GEN

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

KW - CRN security

KW - Neural Network

KW - SDR

UR - https://www.scopus.com/pages/publications/85059908125

UR - https://www.scopus.com/inward/citedby.url?scp=85059908125&partnerID=8YFLogxK

UR - https://corescholar.libraries.wright.edu/ee/51

U2 - 10.1109/NAECON.2018.8556763

DO - 10.1109/NAECON.2018.8556763

M3 - Conference contribution

SN - 978-1-5386-6558-9

SP - 137

EP - 143

BT - NAECON 2018 - IEEE National Aerospace and Electronics Conference

PB - IEEE

T2 - 2018 IEEE National Aerospace and Electronics Conference, NAECON 2018

Y2 - 23 July 2018 through 26 July 2018

ER -

A Signal Verification Approach to Cognitive Radio Network Security

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this