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.

Библиографические подробности
Главные авторы: Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Другие авторы: Hossain, Dr. Muhammad Iqbal
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2023
Предметы:
Machine learning
Explainable Artificial Intelligence (XAI)
ToN-IoT
Windows OS
Data analysis
Intrusion detection
Neural networks (Computer science)
Artificial intelligence
Online-ссылка:http://hdl.handle.net/10361/19351

Internet

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

Схожие документы