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.

Chi tiết về thư mục
Những tác giả chính: Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Tác giả khác: Hossain, Dr. Muhammad Iqbal
Định dạng: Luận văn
Ngôn ngữ:English
Được phát hành: Brac University 2023
Những chủ đề:
Machine learning
Explainable Artificial Intelligence (XAI)
ToN-IoT
Windows OS
Data analysis
Intrusion detection
Neural networks (Computer science)
Artificial intelligence
Truy cập trực tuyến:http://hdl.handle.net/10361/19351

Internet

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

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