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.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Rannpháirtithe:	Hossain, Muhammad Iqbal
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2024
Ábhair:	Explainable artificial intelligence (XAI) Convolutional neural network (CNN) DenseNet Inception ResNet V2 VGG16 Comparative analysis Neural networks (Computer science) Artificial intelligence
Rochtain ar líne:	http://hdl.handle.net/10361/22824

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