Attention-Based Malware Detection Model by Visualizing Latent Features Through Dynamic Residual Kernel Network. [PDF]
Basak M, Kim DW, Han MM, Shin GY.
europepmc +1 more source
Sparse attention with residual pyramidal depthwise separable convolutional based malware detection with optimization mechanism. [PDF]
Ranjani B, Chinnadurai M.
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Z2F: Heterogeneous graph-based Android malware detection. [PDF]
Ma Z, Luktarhan N.
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles. [PDF]
Almakayeel N.
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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network. [PDF]
Guo W +6 more
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ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms. [PDF]
Tayyab UE +5 more
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CyberSentinel: A Transparent Defense Framework for Malware Detection in High-Stakes Operational Environments. [PDF]
Basak M, Han MM.
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Deep learning hybridization for improved malware detection in smart Internet of Things. [PDF]
Almazroi AA, Ayub N.
europepmc +1 more source
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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AMDDLmodel: Android smartphones malware detection using deep learning model. [PDF]
Aamir M +8 more
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