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.

Dettagli Bibliografici
Autori principali:	Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Altri autori:	Hossain, Muhammad Iqbal
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Explainable artificial intelligence (XAI) Convolutional neural network (CNN) DenseNet Inception ResNet V2 VGG16 Comparative analysis Neural networks (Computer science) Artificial intelligence
Accesso online:	http://hdl.handle.net/10361/22824

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