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

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.

Détails bibliographiques
Auteurs principaux: Rahman, Tahsinur, Ahmed, Nusaiba, Monjur, Shama, Haque, Fasbeer Mohammad, Kabir, Naweed
Autres auteurs: Hossain, Dr. Muhammad Iqbal
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
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.
Accès en ligne:http://hdl.handle.net/10361/19354

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