An Efficient Android Malware Detection Using Adaptive Red Fox Optimization Based CNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09765-0.pdf
Reference37 articles.
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3. Ren, Z., Haomin, Wu., Ning, Q., Hussain, I., & Chen, B. (2020). End-to-end malware detection for android IoT devices using deep learning. Ad Hoc Networks, 101, 102098.
4. Bhatia, T., & Kaushal R. (2017). Malware detection in android based on dynamic analysis. In 2017 International conference on cyber security and protection of digital services (Cyber security) (pp. 1–6). IEEE.
5. Zhou, Q., Feng, F., Shen, Z., Zhou, R., Hsieh, M.-Y., & Li, K.-C. (2019). A novel approach for mobile malware classification and detection in Android systems. Multimedia Tools and Applications, 78(3), 3529–3552.
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