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Download RNN For Malware Detection by ['Azizi van Abdullah'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About RNN For Malware Detection
This paper proposes two models that combine long short-term memory (LSTM) and convolutional neural networks (CNN) for malware detection. LSTM is useful for modeling temporal patterns in data, while CNN is good at extracting spatial information. The models are trained on the Drebin malware dataset and validated. Experimental results show that both proposed models outperform other techniques like multilayer perceptron, CNN, and LSTM alone on malware classification. The best model, which combines LSTM and CNN, achieves a state-of-the-art performance level of 98.53% accuracy on the Drebin dataset.
Detailed Information
| Author: | ['Azizi van Abdullah'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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