EXAM: Explainable Models for Analyzing Malicious Android Applications

Author:

Asmitha K. A.,Vinod P.,Rehiman K. A. Rafidha,Verma Raman Prakash,Kumar Rajkishor,Kumari Surbhi,Kumar Nishchaya

Publisher

Springer Nature Switzerland

Reference18 articles.

1. Karbab, E.B., Debbabi, M., Derhab, A., Mouheb, D.: Android malware detection using deep learning on API method sequences. Comput. Sci. arXiv:1712.08996v1 (2017)

2. Kim, T., Kang, B., Rho, M., Sezer, S., Im, E.G.: A multimodal deep learning method for android malware detection using various features. IEEE Trans. Inform. Forensics Secur. 14(3), 733–788 (2018)

3. Hou, S., Saas, A., Chen, L., Ye, Y.: Deep4MalDroid: a deep learning framework for android malware detection based on linux kernel system call graphs. In: IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW), pp. 104–111 (2016)

4. Androguard: http://code.google.com/p/androguard/ (2019). v3.3.5

5. Gunning, D.: In: Defense Advanced Research Projects Agency (DARPA), nd Web 2. Explainable artificial intelligence (xai) (2017)

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