OPTIMASI PREDIKSI HOST BOTNET DENGAN ENKRIPSI GUNA MEMPERKUAT KEAMANAN JARINGAN

• OMEGA JOEL PATRIA MOATA
• 14230016

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ABSTRAK

ABSTRAK

• Nama              : Omega Joel Patria Moata
• NIM                 : 14230016
• Program Studi : Magister Ilmu Komputer
• Fakultas           : Teknologi Informasi
• Jenjang             : Strata Dua (S2)

Konsentrasi : Artificial Intelegnce & Blockchain Judul : Optimasi Prediksi Host Botnet Dengan Enkripsi Guna Memperkuat Keamanan Jaringan.

Penelitian ini mengembangkan pendekatan optimasi untuk memprediksi host botnet secara andal dan aman. Metode yang diusulkan mengintegrasikan teknik deep learning dan enkripsi guna meningkatkan akurasi prediksi sekaligus menjaga kerahasiaan data. Proses penelitian mencakup eksplorasi mendalam pada tahap prapemrosesan data serta perbandingan kinerja antara model RNN-GRU dan LSTM untuk menentukan metode paling efektif dalam memprediksi lalu lintas jaringan selama 30 hari ke depan. Hasil evaluasi statistik menunjukkan bahwa metode yang diusulkan mampu mencapai tingkat akurasi hingga 98%. Selain itu, sistem deteksi anomali berhasil diimplementasikan dengan dukungan enkripsi pada data teks untuk menyamarkan informasi sensitif.

KATA KUNCI

Keamanan Jaringan

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DAFTAR PUSTAKA

   DAFTAR PUSTAKA

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