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.

מידע ביבליוגרפי
Main Authors:	Rahman, Tahsinur, Ahmed, Nusaiba, Monjur, Shama, Haque, Fasbeer Mohammad, Kabir, Naweed
מחברים אחרים:	Hossain, Dr. Muhammad Iqbal
פורמט:	Thesis
שפה:	English
יצא לאור:	Brac University 2023
נושאים:	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.
גישה מקוונת:	http://hdl.handle.net/10361/19354

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

פריטים דומים