Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Adversary Detection For Cognitive Ra...
~
He, Xiaofan.
Adversary Detection For Cognitive Radio Networks
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Adversary Detection For Cognitive Radio Networks/ by Xiaofan He, Huaiyu Dai.
Author:
He, Xiaofan.
other author:
Dai, Huaiyu.
Description:
X, 74 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Electrical engineering. -
Online resource:
https://doi.org/10.1007/978-3-319-75868-8
ISBN:
9783319758688
Adversary Detection For Cognitive Radio Networks
He, Xiaofan.
Adversary Detection For Cognitive Radio Networks
[electronic resource] /by Xiaofan He, Huaiyu Dai. - 1st ed. 2018. - X, 74 p.online resource. - SpringerBriefs in Electrical and Computer Engineering,2191-8112. - SpringerBriefs in Electrical and Computer Engineering,.
This SpringerBrief provides a comprehensive study of the unique security threats to cognitive radio (CR) networks and a systematic investigation of the state-of-the-art in the corresponding adversary detection problems. In addition, detailed discussions of the underlying fundamental analytical tools and engineering methodologies of these adversary detection techniques are provided, considering that many of them are quite general and have been widely employed in many other related fields. The exposition of this book starts from a brief introduction of the CR technology and spectrum sensing in Chapter 1. This is followed by an overview of the relevant security vulnerabilities and a detailed discussion of two security threats unique to CR networks, namely, the primary user emulation (PUE) attack and the Byzantine attack. To better prepare the reader for the discussions in later chapters, preliminaries of analytic tools related to adversary detection are introduced in Chapter 2. In Chapter 3, a suite of cutting-edge adversary detection techniques tailor-designed against the PUE and the Byzantine attacks are reviewed to provide a clear overview of existing research in this field. More detailed case studies are presented in Chapters 4 – 6. Specifically, a physical-layer based PUE attack detection scheme is presented in Chapter 4, while Chapters 5 and 6 are devoted to the illustration of two novel detection techniques against the Byzantine attack. Concluding remarks and outlooks for future research are provided in Chapter 7. The primary audience for this SpringerBrief include network engineers interested in addressing adversary detection issues in cognitive radio networks, researchers interested in the state-of-the-art on unique security threats to cognitive radio networks and the corresponding detection mechanisms. Also, graduate and undergraduate students interested in obtaining comprehensive information on adversary detection in cognitive radio networks and applying the underlying techniques to address relevant research problems can use this SpringerBrief as a study guide. .
ISBN: 9783319758688
Standard No.: 10.1007/978-3-319-75868-8doiSubjects--Topical Terms:
596380
Electrical engineering.
LC Class. No.: TK1-9971
Dewey Class. No.: 621.382
Adversary Detection For Cognitive Radio Networks
LDR
:03426nam a22003855i 4500
001
994325
003
DE-He213
005
20200704091059.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783319758688
$9
978-3-319-75868-8
024
7
$a
10.1007/978-3-319-75868-8
$2
doi
035
$a
978-3-319-75868-8
050
4
$a
TK1-9971
072
7
$a
TJK
$2
bicssc
072
7
$a
TEC041000
$2
bisacsh
072
7
$a
TJK
$2
thema
082
0 4
$a
621.382
$2
23
100
1
$a
He, Xiaofan.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1202391
245
1 0
$a
Adversary Detection For Cognitive Radio Networks
$h
[electronic resource] /
$c
by Xiaofan He, Huaiyu Dai.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
X, 74 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
SpringerBriefs in Electrical and Computer Engineering,
$x
2191-8112
520
$a
This SpringerBrief provides a comprehensive study of the unique security threats to cognitive radio (CR) networks and a systematic investigation of the state-of-the-art in the corresponding adversary detection problems. In addition, detailed discussions of the underlying fundamental analytical tools and engineering methodologies of these adversary detection techniques are provided, considering that many of them are quite general and have been widely employed in many other related fields. The exposition of this book starts from a brief introduction of the CR technology and spectrum sensing in Chapter 1. This is followed by an overview of the relevant security vulnerabilities and a detailed discussion of two security threats unique to CR networks, namely, the primary user emulation (PUE) attack and the Byzantine attack. To better prepare the reader for the discussions in later chapters, preliminaries of analytic tools related to adversary detection are introduced in Chapter 2. In Chapter 3, a suite of cutting-edge adversary detection techniques tailor-designed against the PUE and the Byzantine attacks are reviewed to provide a clear overview of existing research in this field. More detailed case studies are presented in Chapters 4 – 6. Specifically, a physical-layer based PUE attack detection scheme is presented in Chapter 4, while Chapters 5 and 6 are devoted to the illustration of two novel detection techniques against the Byzantine attack. Concluding remarks and outlooks for future research are provided in Chapter 7. The primary audience for this SpringerBrief include network engineers interested in addressing adversary detection issues in cognitive radio networks, researchers interested in the state-of-the-art on unique security threats to cognitive radio networks and the corresponding detection mechanisms. Also, graduate and undergraduate students interested in obtaining comprehensive information on adversary detection in cognitive radio networks and applying the underlying techniques to address relevant research problems can use this SpringerBrief as a study guide. .
650
0
$a
Electrical engineering.
$3
596380
650
0
$a
Data protection.
$3
557764
650
1 4
$a
Communications Engineering, Networks.
$3
669809
650
2 4
$a
Security.
$3
1114130
700
1
$a
Dai, Huaiyu.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1202392
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319758671
776
0 8
$i
Printed edition:
$z
9783319758695
830
0
$a
SpringerBriefs in Electrical and Computer Engineering,
$x
2191-8112
$3
1253713
856
4 0
$u
https://doi.org/10.1007/978-3-319-75868-8
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login