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DeepCatra: Learning Flow- and Graph-based Behaviors for Android Malware Detection. (arXiv:2201.12876v2 [cs.CR] UPDATED)
July 19, 2022, 1:20 a.m. | Yafei Wu, Jian Shi, Peicheng Wang, Dongrui Zeng, Cong Sun
cs.CR updates on arXiv.org arxiv.org
As Android malware is growing and evolving, deep learning has been introduced
into malware detection, resulting in great effectiveness. Recent work is
considering hybrid models and multi-view learning. However, they use only
simple features, limiting the accuracy of these approaches in practice. 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 graph
neural network (GNN) as subnets. The two subnets rely on features extracted
from …
android android malware detection flow malware malware detection
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