Android malware detection using time-aware machine learning approach

Author:

AlSobeh Anas M. R.,Gaber Khalid,Hammad Mahmoud M.,Nuser Maryam,Shatnawi Amani

Publisher

Springer Science and Business Media LLC

Reference27 articles.

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2. Kok, S.H., Abdullah, A., Jhanjhi, N.Z.: Early detection of crypto ransomware using pre-encryption detection algorithm. J. King Saud Univ. Comput. Inf. Sci. 34, 1984–1999 (2020)

3. AlJarrah, M.N., Yaseen, Q.M., Mustafa, A.M.: A context-aware android malware detection approach using machine learning. Information 13(12), 563 (2022)

4. Hammad, M., Garcia, J., Malek, S.: A large-scale empirical study on the effects of code obfuscations on android apps and anti-malware products. In: Proceedings of the 40th International Conference on Software Engineering, pp. 421–431 (2018)

5. Gopinath, M., Sethuraman, S.C.: A comprehensive survey on deep learning based malware detection techniques. Comput. Sci. Rev. 47, 100529 (2023)

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