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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
مؤلفون آخرون: Hossain, Muhammad Iqbal
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2024
الموضوعات:
Explainable artificial intelligence (XAI)
Convolutional neural network (CNN)
DenseNet
Inception ResNet V2
VGG16
Comparative analysis
Neural networks (Computer science)
Artificial intelligence
الوصول للمادة أونلاين:http://hdl.handle.net/10361/22824

الانترنت

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

مواد مشابهة