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We propose that the malicious and benign behaviors within apps can be differentiated based on the contexts that trigger security-sensitive behaviors.
We propose that the malicious and benign behaviors within apps can be differentiated based on the contexts that trigger security-sensitive behaviors.
Abstract—Mobile malware attempts to evade detection during app analysis by mimicking security-sensitive behaviors of benign apps that provide similar ...
We propose that the malicious and benign behaviors within apps can be differentiated based on the contexts that trigger security-sensitive behaviors, i.e., the ...
In this work, we introduce AppContext, an approach of static program analysis that extracts the contexts of security-sensitive behaviors to assist app analysis ...
In this work, we introduce AppContext, an approach of static program analysis that extracts the contexts of security-sensitive behaviors to assist app analysis ...
This work introduces AppContext, an approach of static program analysis that extracts the contexts of security-sensitive behaviors to assist app analysis in ...
AppContext: Differentiating Malicious and Benign Mobile App Behavior. Under ... in contrast, UI events activate when users using the app → users are around!!
The difference is that the behaviors of malware are unexpected while the behaviors of benign apps are expected by users. User expectations (reflected via user ...
Jul 30, 2015 · In this work, we introduce AppContext, an approach of static program analysis that extracts the contexts of security-sensitive behaviors to ...
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