RUcore: Rutgers University Community Repository
DDoS detection and mitigation using machine learning
Descriptive
TitleInfo
Title
DDoS detection and mitigation using machine learning
Name
(type = personal)
NamePart
(type = family)
Gawande
NamePart
(type = given)
Arpit Ramesh
NamePart
(type = date)
1986-
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Arpit Ramesh Gawande
Role
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author
Name
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NamePart
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Birget
NamePart
(type = given)
Jean-Camille
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Jean-Camille Birget
Affiliation
Advisory Committee
Role
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chair
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NamePart
(type = family)
Shende
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Sunil
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Sunil Shende
Affiliation
Advisory Committee
Role
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(authority = RULIB)
co-chair
Name
(type = personal)
NamePart
(type = family)
Ramaswami
NamePart
(type = given)
Suneeta
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Suneeta Ramaswami
Affiliation
Advisory Committee
Role
RoleTerm
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co-chair
Name
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NamePart
Rutgers University
Role
RoleTerm
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degree grantor
Name
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NamePart
Camden Graduate School
Role
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school
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Text
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theses
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2018
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(type = degree)
2018-05
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2018
Place
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xx
Language
LanguageTerm
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eng
Abstract
(type = abstract)
Distributed Denial of Service (DDoS) attacks are very common nowadays. It is evident that the current industry solutions, such as completely relying on the In- ternet Service Provider (ISP) or setting up a DDoS defense infrastructure, are not sufficient in detecting and mitigating DDoS attacks, hence consistent research is needed. In this thesis we first tried to understand how DDoS attacks happen, then we discussed a way to detect DDoS attacks using machine learning tools at the routers, instead of setting up a centralized analysis system. We have proposed a standard communication architecture which can be used across all the networking devices for mitigating DDoS attacks. We have also created a simulation program to demonstrate our detection technique.
Subject
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Topic
Computer Science
Subject
(authority = ETD-LCSH)
Topic
Machine learning
Subject
(authority = ETD-LCSH)
Topic
Denial of service attacks
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD_9030
PhysicalDescription
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electronic resource
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application/pdf
InternetMediaType
text/xml
Note
Supplementary File: Python programs
Extent
1 online resource (iii, 35 p. : ill.)
Note
(type = degree)
M.S.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Arpit Ramesh Gawande
RelatedItem
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TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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NjNbRU
Identifier
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doi:10.7282/T3HX1H13
Genre
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ETD graduate
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Gawande
GivenName
Arpit
MiddleName
Ramesh
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2018-05-04 11:27:38
AssociatedEntity
Name
Arpit Gawande
Role
Copyright holder
Affiliation
Rutgers University. Camden Graduate School
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
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2018-06-06T13:52:55
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