A Full-Lifecycle Malicious Code Detection Scheme Based on RASP and Random Forest
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5666-7_24
Reference14 articles.
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3. Cui, Z., Xue, F., Cai, X., et al.: Detection of malicious code variants based on deep learning. IEEE Trans. Industr. Inf. 14(7), 3187–3196 (2018)
4. Catak, F.O., Ahmed, J., Sahinbas, K., et al.: Data augmentation based malware detection using convolutional neural networks. Peerj Comput. Sci. 7, e346 (2021)
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