VISUALISASI SERANGAN TCP FIN FLOOD PADA JARINGAN IOT MENGGUNAKAN METODE UNSUPERVISED LEARNING

DEFITRI, ANYA NUR and Stiawan, Deris and Afifah, Nurul (2025) VISUALISASI SERANGAN TCP FIN FLOOD PADA JARINGAN IOT MENGGUNAKAN METODE UNSUPERVISED LEARNING. Undergraduate thesis, Sriwijaya University.

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Abstract

Seiring berkembangnya Internet of Things (IoT), serangan TCP FIN Flood mengancam komunikasi dan sumber daya sistem. Penelitian ini menggunakan dataset node_wifi dari COMNETS Research Labs Universitas Sriwijaya dan menerapkan K-Means serta DBSCAN untuk clustering dan deteksi anomali pada lalu lintas jaringan. Visualisasi pola serangan dilakukan dengan Principal Component Analysis (PCA), yang menunjukkan pola lalu lintas menyimpang, dengan cluster terpisah pada K-Means dan titik noise pada DBSCAN. K-Means menghasilkan Silhouette Score 0.8519, namun tidak mendeteksi noise. Sebaliknya, DBSCAN dengan min_samples = 2 dan eps = 10.4621 mendeteksi 4 titik noise dan menghasilkan Calinski-Harabasz Score lebih tinggi (357.67), menunjukkan pemisahan cluster lebih baik. Dengan demikian, DBSCAN lebih efektif dalam mendeteksi serangan tersembunyi pada jaringan IoT.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Keamanan Jaringan, Jaringan Komputer
Subjects:	T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.85 Network systems theory Including network analysis Cf. TS157.5+ Scheduling
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Anya Nur Defitri
Date Deposited:	05 Aug 2025 06:40
Last Modified:	05 Aug 2025 06:40
URI:	http://repository.unsri.ac.id/id/eprint/182304

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