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.

Chi tiết về thư mục
Những tác giả chính: Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Tác giả khác: Hossain, Muhammad Iqbal
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2024
Những chủ đề:
Explainable artificial intelligence (XAI)
Convolutional neural network (CNN)
DenseNet
Inception ResNet V2
VGG16
Comparative analysis
Neural networks (Computer science)
Artificial intelligence
Truy cập trực tuyến:http://hdl.handle.net/10361/22824

Internet

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

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