DroidMiner: Automated Mining and Characterization of Fine-grained Malicious Behaviors in Android Applications

Author:

Yang Chao,Xu Zhaoyan,Gu Guofei,Yegneswaran Vinod,Porras Phillip

Publisher

Springer International Publishing

Reference42 articles.

1. Zhou, Y., Wang, Z., Zhou, W., Jiang, X.: Hey, you, get off of my market: Detecting malicious apps in official and alternative android markets. In: Proc. of the 19th NDSS (2012)

2. Chen, K., Johnson, N., Silva, V., Dai, S., MacNamara, K., Magrino, T., Wu, E., Rinard, M., Song, D.: Contextual policy enforcement in android applications with permission event graphs. In: Proc. of the 20th NDSS (2013)

3. Peng, H., Gates, C., Sarm, B., Li, N., Qi, Y., Potharaju, R., Nita-Rotaru, C., Molloy, I.: Using probabilistic generative models for ranking risks of android apps. In: Proc. of the 19th CCS

4. Wu, D., Mao, C., Wei, T., Lee, H., Wu., K.: Droidmat: Android malware detection through manifest and api calls tracing. In: Proc. of the 7th Asia JCIS (2012)

5. Arp, D., Spreitzenbarth, M., Hubner, M., Gascon, H., Rieck, K.: Drebin: Effective and explainable detection of android malware in your pocket. In: Proc. of NDSS (2014)

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