Permission-Based Android Malware Application Detection Using Multi-Layer Perceptron

Author:

Jannath Nisha O. S.,Mary Saira Bhanu S.

Publisher

Springer International Publishing

Reference22 articles.

1. Arp, D., Spreitzenbarth, M., Hubner, M., Gascon, H., Rieck, K., Siemens, C.: Drebin: effective and explainable detection of android malware in your pocket. In: Ndss, vol. 14, pp. 23–26 (2014)

2. Aung, Z., Zaw, W.: Permission-based android malware detection. Int. J. Sci. Technol. Res. 2(3), 228–234 (2013)

3. Brahler, S.: Analysis of the android architecture. Karlsruhe institute for technology 7(8) (2010)

4. Desnos, A.: Androguard: Reverse engineering, malware and goodware analysis of android applications... and more (ninja!) (2015)

5. Faruki, P., Bharmal, A., Laxmi, V., Ganmoor, V., Gaur, M.S., Conti, M., Rajarajan, M.: Android security: a survey of issues, malware penetration, and defenses. IEEE Commun. Surv. Tutor. 17(2), 998–1022 (2015)

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1. Deep Learning for Malware Detection and Classification;2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM);2023-12-12

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