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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...

詳細記述

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書誌詳細
主要な著者: Yun Gao, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada
フォーマット: Artigo
言語:Inglês
出版事項: IEEE 2022-01-01
シリーズ:IEEE Access
主題:
オンライン・アクセス:https://ieeexplore.ieee.org/document/9766102/
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