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Identification of Adversarial Android Intents using Reinforcement Learning.

, , , and . IJCNN, page 1-8. IEEE, (2021)

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GreenForensics: Deep hybrid edge-cloud detection and forensics system for battery-performance-balance conscious devices., , and . Digit. Investig., 43 (Supplement): 301445 (2022)Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses., , , and . Digit. Investig., (2021)Detection of Advanced Malware by Machine Learning Techniques., , and . CoRR, (2019)DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware., , and . CoRR, (2021)Secure and Energy-Efficient Key-Agreement Protocol for Multi-server Architecture., and . SKM, volume 1186 of Communications in Computer and Information Science, page 82-97. Springer, (2019)ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator., , and . IJCNN, page 1-9. IEEE, (2021)Breaking the Anti-malware: EvoAAttack Based on Genetic Algorithm Against Android Malware Detection Systems., , , and . ICCS (5), volume 14077 of Lecture Notes in Computer Science, page 535-550. Springer, (2023)Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering., , , and . BROADNETS, volume 355 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 109-128. Springer, (2020)MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection., , , , , and . BROADNETS, volume 511 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 72-92. Springer, (2022)Android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature Review., , , , and . BROADNETS, volume 511 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 51-71. Springer, (2022)