Title

Ensemble learning approach to enhancing binary classification in Intrusion Detection System for Internet of Things

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2024

Volume

vol. 70

Issue

No 2

Affiliation

Soni : Faculty of Computer Sciences, Universitas Muhammadiyah Riau, Pekanbaru, Riau Indonesia and Faculty of Data Science and Computing, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, 16100 Kota Bharu, Kelantan, Malaysia ; Remli, Muhammad Akmal : Faculty of Data Science and Computing, Universiti Malaysia Kelantan and Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, 16100 Kota Bharu, Kelantan, Malaysia ; Mohd Daud, Kauthar : Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia ; Amien, Januar Al : Universitas Muhammadiyah Riau, Pekanbaru, Riau Indonesia and Faculty of Data Science and Computing, Universiti Malaysia Kelantan, City Campus, Pengkalan Chepa, 16100 Kota Bharu, Kelantan, Malaysia

Authors

Soni ; Remli, Muhammad Akmal ; Mohd Daud, Kauthar ; Amien, Januar Al

Keywords

Binary classification ; XGBoost ; ToN IoT dataset ; ensemble technique

Divisions of PAS

Nauki Techniczne

Coverage

465-472

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

25.06.2024

Type

Article

Identifier

DOI: 10.24425/ijet.2024.149567