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.

Xehetasun bibliografikoak
Egile Nagusiak: Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Beste egile batzuk: Hossain, Muhammad Iqbal
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2024
Gaiak:
Explainable artificial intelligence (XAI)
Convolutional neural network (CNN)
DenseNet
Inception ResNet V2
VGG16
Comparative analysis
Neural networks (Computer science)
Artificial intelligence
Sarrera elektronikoa:http://hdl.handle.net/10361/22824

Internet

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

Antzeko izenburuak