DeepMal: maliciousness-Preserving adversarial instruction learning against static malware detection

DeepMal: maliciousness-Preserving adversarial instruction learning against static malware detection

Abstract Outside the explosive successful applications of deep learning (DL) in natural language processing, computer vision, and information retrieval, there have been numerous Deep Neural Networks (DNNs) based alternatives for common security-related scenarios with malware detection among more pop...

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Bibliographic Details
Main Authors: Chun Yang, Jinghui Xu, Shuangshuang Liang, Yanna Wu, Yu Wen, Boyang Zhang, Dan Meng
Format: Article
Language:English
Published: SpringerOpen 2021-05-01
Series:Cybersecurity
Subjects:
Adversarial instruction learning
Malware
Static malware detection
Small-scale
Online Access:https://doi.org/10.1186/s42400-021-00079-5

Internet

https://doi.org/10.1186/s42400-021-00079-5

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