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NLEU: A Semantic-based Taint Analysis for Vetting Apps in Android

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Title of Paper:NLEU: A Semantic-based Taint Analysis for Vetting Apps in Android

Journal:International Conference on Networking and Network Applications

Abstract:Due to the widespread of Android apps in our daily life, vulnerable or malicious apps have become two major threats to clients’ privacy. Taint analysis is one of the most widely used approaches for detecting information leakage by tracking sensitive flows through the apps in accordance with specific taint propagation rules and predefined sensitive sources and sinks. However, most existing static taint analysis tools, including FlowDroid, IccTA, etc., neglect the semantics of detected flows, especially for conditional branches in apps, which may cause a precision loss in practical

Correspondence Author:Xi Ning

Document Code:10.1109/NaNA53684.2021.00063

Page Number:pages 327-333

Translation or Not:no

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