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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Main Authors: Yun Gao, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada
格式: Artigo
語言:Inglês
出版: IEEE 2022-01-01
叢編:IEEE Access
主題:
Malware detection
machine learning
custom loss function
cost-sensitive learning
在線閱讀:https://ieeexplore.ieee.org/document/9766102/
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