Aug 7, 2022 · This study proposes DeepCatra, a multi-view learning approach for Android malware detection, whose model consists of a bidirectional LSTM (BiLSTM) and a graph ...
Jan 30, 2022 · In this paper, we propose DeepCatra, a multi-view learning approach for Android malware detection, whose model consists of a bidirectional LSTM (BiLSTM) and a ...
AbstractAs Android malware grows and evolves, deep learning has been introduced into malware detection, resulting in great effectiveness.
Experimental results on over 18,000 real‐world apps and prevalent malware show that DeepCatra achieves considerable improvement, for example, 2.7%–14.6% on the ...
Aug 7, 2022 · As Android malware grows and evolves, deep learning has been introduced into malware detection, resulting in great effectiveness.
Jan 30, 2022 · As Android malware is growing and evolving, deep learning has been introduced into malware detection, resulting in great effectiveness.
DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection. This is the code and data repository of DeepCatra. Directory structure.
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This survey provides an extensive discussion of recent and relevant approaches that have been published, unveiling emerging technologies and highlighting ...
Jun 7, 2024 · The paper provides a methodology for Android malware detection, integrating preprocessing, extraction and selection of feature and a novel deep learning-based ...
In this paper, we propose a novel approach to Android malware analysis and categorization that leverages the power of BERT (Bidirectional Encoder�...