Model Jaringan Neural Untuk Deteksi Anomali Pada Sistem Keamanan (SIBER)
Rancangan, Implementasi, dan Analisis
DOI:
https://doi.org/10.37932/jarekom.v1i1.905Kata Kunci:
Model, Jaringan Neural, Deteksi Anomali, Sistem Keamanan (SIBER), Implementasi, AnalisisAbstrak
Peningkatan serangan siber yang kompleks dan dinamis mendorong kebutuhan akan sistem deteksi anomali berbasis kecerdasan buatan. Artikel ini mengembangkan model jaringan neural untuk mendeteksi anomali pada sistem keamanan siber, menggunakan metode Research and Development (RnD). Model dikembangkan dengan pendekatan deep learning (Autoencoder dan LSTM) dan diuji pada data nyata lalu lintas jaringan. Hasilnya menunjukkan efektivitas tinggi dalam mendeteksi intrusi secara real-time. Model ini menghadirkan inovasi berbasis teknologi dengan dampak positif terhadap dunia keamanan digital nasional.
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Referensi
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