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Similarity detection techniques for mobile platform artifacts
Descriptive
TitleInfo
Title
Similarity detection techniques for mobile platform artifacts
Name
(type = personal)
NamePart
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Gokhale
NamePart
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Amruta
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Amruta Gokhale
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author
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Ganapathy
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Vinod
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Vinod Ganapathy
Affiliation
Advisory Committee
Role
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chair
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Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
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school
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Text
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theses
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2015
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(type = degree)
2015-10
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2015
Place
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xx
Language
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eng
Abstract
(type = abstract)
There has been a tremendous increase in availability and use of mobile apps in recent years. Two dominant mobile platform providers, Apple and Google, have over 1.4 million applications (apps) each in their app markets as of May 2015. Such huge number of available apps gives rise to problems in managing app repositories. Also, a peculiar set of challenges is faced by the large community of mobile app developers. This dissertation describes novel solutions to two problems in the space of mobile apps. The first problem is that of fragmentation of mobile app development across multiple platforms. To accelerate the native development of same app across multiple platforms, mobile app developers need tools to better navigate across different platforms. The second problem is that of keeping app repositories free of plagiarized apps. It is in the best interest of users, developers as well as app repository owners to get rid of plagiarized apps in the app markets, which often carry malicious software with them, and thus pose a threat. Every mobile app interacts with the platform, taking advantage of the functionalities exposed by the platform. The behavior of an app can be described at a high level in terms of its interaction with the underlying platform. By monitoring the app and collecting such interaction in the form of API method invocations, we can record its high level behavior. We use this observation to build two new systems. The first system provides assistance in cross-platform mobile app development. The second system detects plagiarized mobile apps in app repositories. The proposed techniques intercept the interactions between mobile apps and the underlying platform and utilize the interactions to infer likely resemblances between two mobile platform APIs or between mobile apps.
Subject
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Topic
Computer Science
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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ETD_6781
PhysicalDescription
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electronic resource
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xii, 84 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Subject
(authority = ETD-LCSH)
Topic
Application software
Subject
(authority = ETD-LCSH)
Topic
Mobile computing
Note
(type = statement of responsibility)
by Amruta Gokhale
RelatedItem
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
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doi:10.7282/T3J38VJN
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Gokhale
GivenName
Amruta
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2015-09-25 07:23:59
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Name
Amruta Gokhale
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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
RULTechMD
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ContentModel
ETD
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windows xp
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