A study on robustness of malware detection model

In recent years, machine learning–based techniques are used to prevent cyberattacks caused by malware, and special attention is paid to the risks posed by such systems. However, there are relatively few studies on adversarial attacks on machine learning–based malware detection model using portable e...

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Veröffentlicht in:	Annales des télécommunications 2022-10, Vol.77 (9-10), p.663-675
Hauptverfasser:	Zheng, Wanjia, Omote, Kazumasa
Format:	Artikel
Sprache:	eng
Schlagworte:	Circuits Communications Engineering Computer Communication Networks Effectiveness Engineering Euclidean geometry Evaluation Information and Communication Information Systems and Communication Service Machine learning Malware Networks R & D/Technology Policy Robustness Signal,Image and Speech Processing
Online-Zugang:	Volltext
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