Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Detalhes bibliográficos
Principais autores: Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Outros Autores: Hossain, Dr. Muhammad Iqbal
Formato: Tese
Idioma:English
Publicado em: Brac University 2023
Assuntos:
Machine learning
Explainable Artificial Intelligence (XAI)
ToN-IoT
Windows OS
Data analysis
Intrusion detection
Neural networks (Computer science)
Artificial intelligence
Acesso em linha:http://hdl.handle.net/10361/19351

Internet

http://hdl.handle.net/10361/19351

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