Abstract
In the Android platform environment, various techniques to detect personal information leakage are being introduced recently but effective blocking is still long way off. The proposed scheme intends to securely protect personal information on smartphones by monitoring behaviors of various Apps. If an App violates any behavior-based rule, the proposed scheme blocks running the behaviors of the App. For this purpose, I classified the behaviors of smartphone applications and defined the behaviors to monitor. I also proposed the architecture to apply it in the Android framework and applied the proposed scheme in the Android smartphone.
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Jeong, E.S. (2014). Detecting Malicious Apps through Real-Time Behavior Monitoring for Android Phone. In: Park, J., Pan, Y., Kim, CS., Yang, Y. (eds) Future Information Technology. Lecture Notes in Electrical Engineering, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55038-6_129
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DOI: https://doi.org/10.1007/978-3-642-55038-6_129
Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-55038-6
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