2014 · 316 citations · 29 references
ComputingComputer ScienceCybersecurityMachine LearningMobile ComputingMobile SecurityApi SecurityApplication Programming InterfacesMobile Application DevelopmentMobile Application VulnerabilitiesMobile Device SecurityMobile PrivacyAndroid Application AnalysisAndroid Application VulnerabilitiesAndroid Malware ClassificationAutomated Machine LearningMobile App PrivacyPrivacy Leakage DetectionPrivacy Leakage In Mobile ApplicationsSensitive Data Classification
Author(s): Siegfried Rasthofer, Steven Arzt, Eric Bodden Download: Paper (PDF) Date: 22 Feb 2014 Document Type: Briefing Papers Additional Documents: Slides Associated Event: NDSS Symposium 2014 Abstract: In this paper we propose SUSI, a novel machine-learning guided approach for identifying and categorizing previously unknown privacy-sensitive sources and sinks directly from the code of any Android … Continued
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