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.

מידע ביבליוגרפי
Main Authors: Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
מחברים אחרים: Hossain, Dr. Muhammad Iqbal
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2023
נושאים:
Machine learning
Explainable Artificial Intelligence (XAI)
ToN-IoT
Windows OS
Data analysis
Intrusion detection
Neural networks (Computer science)
Artificial intelligence
גישה מקוונת:http://hdl.handle.net/10361/19351

אינטרנט

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

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