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.

Бібліографічні деталі
Автори:	Rahman, Tahsinur, Ahmed, Nusaiba, Monjur, Shama, Haque, Fasbeer Mohammad, Kabir, Naweed
Інші автори:	Hossain, Dr. Muhammad Iqbal
Формат:	Дисертація
Мова:	English
Опубліковано:	Brac University 2023
Предмети:	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.
Онлайн доступ:	http://hdl.handle.net/10361/19354

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

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