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Evaluating Dynamic AnalysisMethods for Android Applications
Linnaeus University, Faculty of Technology, Department of Computer Science.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

With a market share of 84.82% in 2016 Android is the most influential mobile oper-ating system on the world. In March 2017 users could find about 2.8 million ap-plications in the official Playstore while the number applications from other sourcesis unknown]. Since mobile devices are a fundamental source for news, enter-tainment, social activities and more they are also used for mobile banking, healthtracking and other data sensitive tasks. Besides static analysis the approach of dy-namically analyzing applications is necessary to ensure integrity and security. In theinternet a plethora of dynamic analysis methods for Android can be found. Problem-atic for a software security tester is to keep an overview over the quickly changinglandscape of these approaches. In this thesis work relevant dynamic analysis methodswere grouped and evaluated on different criterion. Furthermore an implementationfor the logging file related system calls with LD_PRELOAD was implemented andinvestigated how API calls can be mapped and the data visualized.

Place, publisher, year, edition, pages
2017. , 51 p.
Keyword [en]
Android, Dynamic Analysis, Evaluation, LD_PRELOAD
National Category
Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-65310OAI: oai:DiVA.org:lnu-65310DiVA: diva2:1109568
External cooperation
Truesec Syd AB
Educational program
Network Security Programme, 180 credits
Supervisors
Available from: 2017-06-14 Created: 2017-06-14 Last updated: 2017-06-14Bibliographically approved

Open Access in DiVA

The full text will be freely available from 2017-07-15 12:12
Available from 2017-07-15 12:12

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • en-US
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  • Other locale
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Output format
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