Analisis Penggunaan Sistem Deteksi Intrusi (IDS) Berbasis Algoritma Machine Learning Klasifikasi dengan Dataset UNSW-NB15 dan NSL-KDD = Analysis of Intrusion Detection System (IDS) Based on Classification Machine Learning Algorithms Using UNSW-NB15 and NSL-KDD Datasets

Klasifikasi multi-class data intrusion detection system menggunakan support vector machine dengan pemilihan fitur information gain = The application of multi class support vector machine with feature selection using information gain to intrusion detection system data

Pengembangan Metode Intrusion Detection System berbasis Machine Learning pada tahap seleksi fitur, penyeimbangan kelas, dan ensemble learning = Development of Machine Learning-Based Intrusion Detection System methods at the feature selection, class balancing, and ensemble learning stages

Pengembangan Sistem Deteksi Intrusi Jaringan Berbasis Machine Learning yang Terintegrasi dengan Wazuh dan Zeek = Development of a Machine Learning-Based Network Intrusion Detection System Integrated with Wazuh and Zeek

Deteksi Serangan pada Session Management Function (SMF) Melalui Lalu Lintas Packet Forwarding Control Protocol (PFCP) Core Network 5G Menggunakan Machine Learning = Detection Of Attacks on Session Management Function (SMF) Through Packet Forwarding Control Protocol (PFCP) 5G Core Network Traffic Using Machine Learning