DETEKSI ANOMALI PADA LALU LINTAS JARINGAN VICTIM REVERSE TCP DENGAN METODE GRADIENT BOOSTING

MEIDY, VIONA AULIA and Stiawan, Deris and Afifah, Nurul (2025) DETEKSI ANOMALI PADA LALU LINTAS JARINGAN VICTIM REVERSE TCP DENGAN METODE GRADIENT BOOSTING. Undergraduate thesis, Sriwijaya University.

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Abstract

Deteksi anomali pada jaringan merupakan aspek penting dalam keamanan siber. Penelitian ini bertujuan untuk mengevaluasi kinerja model Gradient Boosting dalam mendeteksi anomali pada lalu lintas reverse TCP, serta menginterpretasi hasil deteksi guna membantu analis keamanan memahami pola serangan. Metode yang digunakan dalam penelitian ini mencakup pemrosesan data dengan teknik oversampling untuk menangani ketidakseimbangan kelas, seleksi fitur menggunakan metode Mutual Information, pelatihan model Gradient Boosting, serta evaluasi performa menggunakan confusion matrix dan classification report. Keputusan deteksi diambil berdasarkan analisis dari Wireshark dan Snort. Hasil penelitian menunjukkan bahwa Gradient Boosting memiliki performa yang baik dalam mendeteksi anomali, dengan akurasi sebesar 98,46% setelah dilakukan seleksi fitur menggunakan Mutual Information.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Deteksi Anomali, Gradient Boosting, Reverse TCP, Keamanan Jaringan
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Viona Aulia Meidy
Date Deposited:	07 Jul 2025 03:44
Last Modified:	07 Jul 2025 03:44
URI:	http://repository.unsri.ac.id/id/eprint/176955

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