Malware Detection in Android System Based on Change Perception

Author:

Zhang Hua-li,Yang Hua-yong,Yang Fan,Jiang Wei

Publisher

Springer International Publishing

Reference21 articles.

1. Xie, L., Shuang, L.I.: Android malware detection model based on Bagging-SVM. J. Comput. Appl., 3 (2018)

2. Onwuzurike, L., Almeida, M., Mariconti, E., et al.: A family of droids: analyzing behavioral model based android malware detection via static and dynamic analysis (2018)

3. Wei, W., Zhao, M., Wang, J.: Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network. J. Ambient. Intell. Hum. Comput. 1, 1–9 (2018)

4. Betarte, G., Campo, J., Gorostiaga, F., et al.: A certified reference validation mechanism for the permission model of android. In: International Symposium on Logic-Based Program Synthesis & Transformation (2017)

5. Xin, J., Liu, M., Yang, K., et al.: A security sandbox approach of android based on hook mechanism. Secur. Commun. Netw. 2018, 1–8 (2018)

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