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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Rahman, Tahsinur, Ahmed, Nusaiba, Monjur, Shama, Haque, Fasbeer Mohammad, Kabir, Naweed
مؤلفون آخرون:	Hossain, Dr. Muhammad Iqbal
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2023
الموضوعات:	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.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/19354

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

مواد مشابهة