December 12, 2017
Comments Off on Hiding in the Mobile Crowd Location Privacy through Collaboration
Posted in: IEEE 2017, Java
Hiding in the Mobile Crowd: Location Privacy through Collaboration Location-aware smartphones support various location-based services (LBSs): users query the LBS server and learn on the fly about their surroundings. However, such queries give away private information, enabling the LBS to track users. We address this problem by proposing a user-collaborative privacy-preserving approach for LBSs. Our solution does […]
December 12, 2017
Comments Off on Catch Me If You Can Evaluating Android Anti-Malware against Transformation Attacks
Posted in: IEEE 2017, Java
Catch Me If You Can: Evaluating Android Anti-Malware against Transformation Attacks Mobile malware threats (e.g., on Android) have recently become a real concern. In this paper, weevaluate the state-of-the-art commercial mobile anti-malware products for Android and test how resistant they are against various common obfuscation techniques (even with known malware). Such an evaluation is important for not only measuring the available defense against mobile malware threats, but also proposing effective, […]