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.

מידע ביבליוגרפי
Main Authors: Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
מחברים אחרים: Hossain, Muhammad Iqbal
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2024
נושאים:
Explainable artificial intelligence (XAI)
Convolutional neural network (CNN)
DenseNet
Inception ResNet V2
VGG16
Comparative analysis
Neural networks (Computer science)
Artificial intelligence
גישה מקוונת:http://hdl.handle.net/10361/22824

אינטרנט

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

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