Malware Detection Using LightGBM With a Custom Logistic Loss Function

The increased spread of malicious software (malware) through the internet remains a serious threat. Malware authors use obfuscation and deformation techniques to generate new types than can evade traditional detection methods. Hence, it is widely expected that machine learning methods can classify m...

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Detaylı Bibliyografya
Asıl Yazarlar: Yun Gao, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: IEEE 2022-01-01
Seri Bilgileri:IEEE Access
Konular:
Malware detection
machine learning
custom loss function
cost-sensitive learning
Online Erişim:https://ieeexplore.ieee.org/document/9766102/
Etiketler: Etiketle
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