This study aims to detect access to online gambling sites encrypted with TLS/SSL using machine learning-based network traffic fingerprint analysis, without accessing content to maintain privacy. Th…
This study discusses a comparison of the machine learning algorithms Random Forest and Decision Tree in detecting anomalies within network traffic on online gambling sites. The data was collected t…
Penelitian ini membahas implementasi dan perbandingan performa dua model deteksi objek berbasis deep learning, yaitu YOLOv8m dan STF-YOLOm (Swin Transformer Fusion YOLO). Tujuan penelitian ini adal…