High-precision vocabulary describing the relations among app GUI features, functionalities , and private data uses
An effective legitimacy definition for capturing misuses of private data
An efficient, high-precision & high-recall prototype for detecting and mitigating misuses of private data on users' device.
Practical Applications and Impact
Enhance user and developer awareness and the ecosystem for privacy protection
Advocate the sensory and sensible principle for more kinds of smart apps
Improve users' trust on smart apps and systems to facilitate SmartNation Initiative
Applications for (1) app stores to build the norms of private data uses and analyse apps offline, (2) mobile system developers to manage private data uses and monitor apps on-device, (3) mobile app developers to be more privacy-aware during app development, and (4) users to customize privacy preferences and usage controls on-device.
Key hypothesis: Legitimate uses of private data in an app should have user-perceivable elements relevant for the app's functionalities wanted by the user.
Key approach: Automated feature modelling & legitimacy decision via static/dynamic program analysis and machine learning
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