Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Models

Author:

Nikiema Serge Lionel,Sabane Aminata,Kabore Abdoul-Kader,Kafando Rodrique,Bissyande Tégawendé F.

Publisher

Springer Nature Switzerland

Reference27 articles.

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3. Hossain, M.S., Ochoa, M., Patterson, K., Boettiger, C.: Detecting and visualizing anomaly in network traffic. In: 2015 IEEE International Conference on Big Data (Big Data), pp. 1739–1748. IEEE (2015)

4. Eldardiry, H., Bart, E., Liu, J., Hanley, J., Price, B., Brdiczka, O.: Multi-instance multi-label learning for identifying security risks in corporate networks. In: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, pp. 135–146 (2013)

5. Shen, Y., Mariconti, E., Vervier, P.A., Stringhini, G.: Tiresias: predicting security events through deep learning. In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, pp. 592–605 (2018)

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