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.

書誌詳細
主要な著者:	Rahman, Tahsinur, Ahmed, Nusaiba, Monjur, Shama, Haque, Fasbeer Mohammad, Kabir, Naweed
その他の著者:	Hossain, Dr. Muhammad Iqbal
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2023
主題:	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.
オンライン･アクセス:	http://hdl.handle.net/10361/19354

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

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