Adversarial attacks on malware detection models for smartphones using reinforcement learning
Author:
Affiliation:
1. BITS Pilani, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3384419.3430576
Reference7 articles.
1. Drebin: Effective and Explainable Detection of Android Malware in Your Pocket
2. Significant Permission Identification for Machine-Learning-Based Android Malware Detection
3. The Evolution of Android Malware and Android Analysis Techniques
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1. Adapting to Evasive Tactics through Resilient Adversarial Machine Learning for Malware Detection;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28
2. An Evaluation of Real-time Malware Detection in IoT Devices: Comparison of Machine Learning Algorithms with RapidMiner;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18
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