Novel Multi-Classification Dynamic Detection Model for Android Malware Based on Improved Zebra Optimization Algorithm and LightGBM. [PDF]
Zhou S, Li H, Fu X, Han D, He X.
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PermQRDroid: Android malware detection with novel attention layered mini-ResNet architecture over effective permission information image. [PDF]
Kılıç K, Doğru İA, Toklu S.
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PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. [PDF]
Mahindru A +6 more
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Adversarial Samples on Android Malware Detection Systems for IoT Systems. [PDF]
Liu X +5 more
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Detecting and classifying method based on similarity matching of Android malware behavior with profile. [PDF]
Jang JW +4 more
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OmBNNet: a resource-efficient FPGA-based obfuscated malware detection method using binarized neural network. [PDF]
Das K +3 more
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Efficient feature ranked hybrid framework for android Iot malware detection. [PDF]
Saeed NH +3 more
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Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]
Anuradha A, Chouhan AS, Srinivas Rao S.
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DEFEAT: Android device behavior-based datasets for multi-stage APT. [PDF]
Jabar T, Al-Kadhimi AA, Singh MM.
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FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]
Patel A +3 more
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