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.

Detalles Bibliográficos
Autores principales: Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Otros Autores: Hossain, Muhammad Iqbal
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Explainable artificial intelligence (XAI)
Convolutional neural network (CNN)
DenseNet
Inception ResNet V2
VGG16
Comparative analysis
Neural networks (Computer science)
Artificial intelligence
Acceso en línea:http://hdl.handle.net/10361/22824

Internet

http://hdl.handle.net/10361/22824

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