Adversarial malware sample generation method based on the prototype of deep learning detector

•Present a novel approach for generating adversarial malware based on prototype of the malware detection model.•Explore the interpretability of deep learning based malware detection model.•Propose an approach for generating binary prototypes of malware detection models.•Introduce the intermediate sa...

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Veröffentlicht in:	Computers & security 2022-08, Vol.119, p.102762, Article 102762
Hauptverfasser:	Qiao, Yanchen, Zhang, Weizhe, Tian, Zhicheng, Yang, Laurence T., Liu, Yang, Alazab, Mamoun
Format:	Artikel
Sprache:	eng
Schlagworte:	Adversarial example Cybersecurity Deep learning Machine learning Malware Malware detection Methods Model interpretability Perturbation Prototype Prototypes
Online-Zugang:	Volltext
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