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AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context Wei Yang∗ , Xusheng Xiao† , Benjamin Andow‡ , Sihan Li∗ , Tao Xie∗ , William Enck‡ ∗ Department of Computer Science, Univ
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City

Urbana / Princeton / /

Company

Google / Activation Event Hardware / AppContext / Intel / NEC Laboratories America / /

Currency

USD / /

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Facility

Apple App store / Android Debug Bridge / University of Illinois / Google Play Store / North Carolina State University / /

IndustryTerm

background services / online technical reports / static taint analysis tool / Internet data / confirmed malicious server / intercomponent communications / antivirus software vendors / search engine rankings / inter-component communications / i7 processor / mobile security software / antivirus software / /

OperatingSystem

Android / /

Organization

University of Illinois / North Carolina State University / Raleigh / Department of Computer Science / International Criminal Court / /

Person

Benjamin Andow / Tao Xie / William Enck / Wei Yang / /

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Position

activity manager / representative / /

Product

Dexpler / VirusTotal / /

ProgrammingLanguage

Java / FP / /

ProvinceOrState

Illinois / Manitoba / /

Technology

XML / SMS / API / entry Entry Algorithm / search engine / machine learning / Android / operating system / i7 processor / Java / smartphones / antivirus software / GUI / /

SocialTag