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  4. TaintBench: Automatic Real-World Malware Benchmarking of Android Taint Analyses
 
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2022
Conference Paper
Title

TaintBench: Automatic Real-World Malware Benchmarking of Android Taint Analyses

Abstract
Due to the lack of established real-world benchmark suites for static taint analyses of Android applications, evaluations of these analyses are often restricted and hard to compare. Even in evaluations that do use real-world applications, details about the ground truth in those apps are rarely documented, which makes it difficult to compare and reproduce the results. Our recent study fills this gap. It first defines a set of sensible construction criteria for such a benchmark suite. It further proposes the TaintBench benchmark suite designed to fulfil these construction criteria. Along with the suite, this paper introduces the TaintBench framework, which allows tool-assisted benchmark suite construction, evaluation and inspection. Our experiments using TaintBench reveal new insights of popular Android taint analysis tools.
Author(s)
Luo, L.
Universität Paderborn
Pauck, F.
Universität Paderborn
Piskachev, Goran
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Benz, M.
Universität Paderborn
Pashchenko, I.
Università di Trento
Mory, M.
Universität Paderborn
Bodden, Eric  
Universität Paderborn  
Hermann, B.
Technische Universität Dortmund
Massacci, F.
Università di Trento
Mainwork
Software Engineering 2022  
Conference
Tagung Software Engineering 2022  
DOI
10.18420/se2022-ws-020
Language
English
Fraunhofer-Institut für Entwurfstechnik Mechatronik IEM  
Keyword(s)
  • Android malware

  • Benchmark

  • Real-world benchmark

  • Taint analysis

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