MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

書誌詳細
主要な著者:	Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
その他の著者:	Hossain, Muhammad Iqbal
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	Explainable artificial intelligence (XAI) Convolutional neural network (CNN) DenseNet Inception ResNet V2 VGG16 Comparative analysis Neural networks (Computer science) Artificial intelligence
オンライン･アクセス:	http://hdl.handle.net/10361/22824

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