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.

Detaylı Bibliyografya
Asıl Yazarlar: Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Diğer Yazarlar: Hossain, Muhammad Iqbal
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2024
Konular:
Explainable artificial intelligence (XAI)
Convolutional neural network (CNN)
DenseNet
Inception ResNet V2
VGG16
Comparative analysis
Neural networks (Computer science)
Artificial intelligence
Online Erişim:http://hdl.handle.net/10361/22824

Internet

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

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