DETEKSI AKSES JUDI ONLINE VIA TLS/SSL MENGGUNAKAN METODE RANDOM FOREST
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…
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- xiv, 103 hlm.; ilus.; tab.; 29 cm.
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- T1854602025
KOMPARASI DETEKSI ANOMALI LALU LINTAS JARINGAN PADA SITUS JUDI ONLINE MENGGUN…
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…
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- xiv, 97 hlm.; ilus.; tab.; 29 cm.
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- T1854712025
IMPLEMENTASI DAN PERBANDINGAN PERFORMA YOLOV8, DAN STF-YOLO PADA SISTEM OBJEC…
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…
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- xiii, 79 hlm.; ilus.; tab.; 29 cm.
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- T1854542025
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