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.

Xehetasun bibliografikoak
Egile Nagusiak: Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Beste egile batzuk: Hossain, Dr. Muhammad Iqbal
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2023
Gaiak:
Machine learning
Explainable Artificial Intelligence (XAI)
ToN-IoT
Windows OS
Data analysis
Intrusion detection
Neural networks (Computer science)
Artificial intelligence
Sarrera elektronikoa:http://hdl.handle.net/10361/19351

Internet

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

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