Machine Learning for Cyber Security

160 Pages·2022·19.894 MB·English

by  Preeti Malik, Lata Nautiyal, Mangey Ram

MachineLearningforCyberSecurity
De Gruyter Series on the
Applications of Mathematics
in Engineering and
Information Sciences
Edited by
Mangey Ram
Volume 15
Machine Learning
for Cyber Security
Edited by
Preeti Malik, Lata Nautiyal and Mangey Ram
Editors
Dr.PreetiMalik
GraphicEraUniversity
CSITBlock
BellRoad,ClementTown
Dehradun248001
Uttarakhand
India
[email protected]
[email protected]
Dr.LataNautiyal
UniversityofBristol
MerchantVenturersBuilding
WoodlandRoad
Clifton
BristolBS81UB
GreatBritain
[email protected]
Prof.Dr.MangeyRam
DepartmentofMathematics
ComputerSciencesand
Engineering
GraphicEraUniversity
566/6BellRoad
ClementTown,Dehradun248002
Uttarakhand
India
[email protected]
ISBN978-3-11-076673-8
e-ISBN(PDF)978-3-11-076674-5
e-ISBN(EPUB)978-3-11-076676-9
ISSN2626-5427
LibraryofCongressControlNumber:2022942864
BibliographicinformationpublishedbytheDeutscheNationalbibliothek
TheDeutscheNationalbibliothekliststhispublicationintheDeutscheNationalbibliografie;
detailedbibliographicdataareavailableontheinternetathttp://dnb.dnb.de.
©2023WalterdeGruyterGmbH,Berlin/Boston
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Typesetting:IntegraSoftwareServicesPvt.Ltd.
Printingandbinding:CPIbooksGmbH,Leck
www.degruyter.com
Preface
Cyber threats today are one of the expensive losses that an organization can face.
Today,itisimpossibletodeployeffectivecybersecuritytechnologywithoutrelying
heavilyonadvancedtechniqueslikemachinelearninganddeeplearning.Cyberse-
curity is a growing challenge in the era of Internet. This book addresses questions
ofhowmachinelearningmethodscanbeusedtoadvancecybersecurityobjectives,
including detection, modeling, monitoring, and analysis of as well as defense
againstvariousthreatstosensitivedataandsecuritysystems.Fillinganimportant
gap between machine learning and cybersecurity communities, it discusses topics
coveringawiderangeofmodernandpracticalmachinelearningtechniques,frame-
works,anddevelopmenttoolstoenablereaderstoengagewiththecutting-edgere-
search across various aspects of cybersecurity. The book focuses on mature and
proven techniques, and provides ample examples to help readers grasp the key
points. This cybersecuritybook presents and demonstrates popular and successful
artificialintelligenceapproachesandmodelsthatyoucanadapttodetectpotential
attacksandprotectyourcorporatesystems.
This book will assist readers in putting intelligent answers to current cyberse-
curity concerns into practice and in creating cutting-edge implementations that
meetthedemandsofever-morecomplexorganizationalstructures.Bythetimeyou
finish reading this book, you will be able to create and employ machine learning
algorithmstomitigatecybersecurityrisks.
https://doi.org/10.1515/9783110766745-202

Contents
Preface V
Listofcontributors IX
Editor’sbiography XI
PreetiMalik,VarshaMittal,MohitMittal,Kamika
Differentialprivacy:asolutiontoprivacyissueinsocialnetworks 1
AbdulRahman,KrishnadasNanath
CrackingCaptchausingmachinelearningalgorithms:anintersectionof
CaptchacategoriesandMLalgorithms 27
KiranAswal,DineshC.Dobhal,UmeshK.Tiwari,HemanPathak
Theransomware:anemergingsecuritychallengetothecyberspace 41
SamuelWedajKibret
Property-basedattestationindeviceswarms:amachinelearning
approach 71
SangeetaMittal
Areviewofmachinelearningtechniquesincybersecurityandresearch
opportunities 91
VasuThakur,VikasKumarRoy,NikhilBaliyan,NupurGoyal,RahulNijhawan
AframeworkforseborrheickeratosisskindiseaseidentificationusingVision
Transformer 117
PreetiMalik,AshwiniKumarSingh,RohitNautiyal,SwatiRawat
MappingAICTEcybersecuritycurriculumontoCyBOK:acasestudy 129
Index 145

List of contributors
1.PreetiMalik 10.SamuelWedajKibret
GraphicEraDeemedtobeUniversity, IndianInstituteofTechnologyDelhi,
Dehradun,India NewDelhi,India
Email:[email protected] Email:[email protected],
[email protected]
2.VarshaMittal
GraphicEraDeemedtobeUniversity, 11.SangeetaMittal
Dehradun,India JaypeeInstituteofInformationTechnology,
Email:[email protected] Noida,UttarPradesh,India
Email:[email protected]
3.MohitMittal
INRIALabs,France 12.VasuThakur
Email:[email protected] DepartmentofComputerScienceand
Engineering,
4.KamikaChaudhary RoorkeeInstituteofTechnology,
MBGovt.PGCollege,Haldwani,India Roorkee,India
Email:[email protected]
13.VikasKumarRoy
5.AbdulRahman DepartmentofComputerScienceand
MiddlesexUniversityDubai,Dubai,UAE Engineering,
RoorkeeInstituteofTechnology,
6.KrishnadasNanath Roorkee,India
MiddlesexUniversityDubai,Dubai,UAE Email:[email protected]
Email:[email protected]
14.NikhilBaliyan
7.KiranAswal DepartmentofComputerScienceand
GurukulKangriViswavidyalaya, Engineering,
DehradunCampus,Uttarakhand,India RoorkeeInstituteofTechnology,Roorkee,
Email:[email protected] Uttarakhand,India
8.DineshC.Dobhal 15.NupurGoyal
GraphicEraDeemedtobeUniversity, DepartmentofMathematics,
Dehradun,Uttarakhand,India GraphicEraDeemedtobeUniversity,
Email:[email protected] Dehradun,Uttarakhand,
India
9.UmeshK.Tiwari E-mail:[email protected]
GraphicEraDeemedtobeUniversity,
Dehradun,Uttarakhand,India
Email:[email protected]
https://doi.org/10.1515/9783110766745-204
X Listofcontributors
16.RahulNijhawan 18.RohitNautiyal
DepartmentofComputerScienceand UniversityofSurrey,Guildford,
Engineering, UnitedKingdom
UniversityofPetroleumandEnergyStudies,
Dehradun,Uttarakhand,India 19.SwatiRawat
E-mail:[email protected] QuantumUniversity,Roorkee,
Uttarakhand,India
17.AshwiniKumarSingh Email:[email protected]
DepartmentofInformatics,King’sCollege
London,London,UnitedKingdom