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

Modifikasi arsitektur Deep Convolutional Generative Adversarial Network (DCGAN) untuk oversampling data tabel serta pengaruhnya terhadap performa deteksi Anomaly-Based Network Intrusion Detection System (ANIDS) = Modification of Deep Convolutional Generative Adversarial Network (DCGAN) architecture for tabular data oversampling and its effect on Anomaly-Based Network Intrusion Detection System (ANIDS) detection performance

Pengembangan dan Evaluasi Sistem Pendeteksian Serangan Siber Berbasis Autoencoder pada Intrusion Detection System (IDS) = Development and Evaluation of an Autoencoder-based Cyber Attack Detection System on an Intrusion Detection System (IDS)

Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Honeynet BSSN dan CIC-ToN-IoT = Performance Analysis of Intrusion Detection System Based on Random Forest Algorithm Using Honeynet BSSN and CIC-ToN-IoT Datasets

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