PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Detaylı Bibliyografya
Asıl Yazarlar:	Rahman, Tahsinur, Ahmed, Nusaiba, Monjur, Shama, Haque, Fasbeer Mohammad, Kabir, Naweed
Diğer Yazarlar:	Hossain, Dr. Muhammad Iqbal
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2023
Konular:	Malware PDF PDF-analysis Cybersecurity SGD Machine-learning Detection Deep learning Artificial neural network Algorithm Single layer perceptron Extreme gradient boosting Explainable artificial intelligence Shapley additive explanations ANN SHAP XAI XGBoost Classifiers Artificial intelligence. Computer security.
Online Erişim:	http://hdl.handle.net/10361/19354

http://hdl.handle.net/10361/19354

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