DETEKSI SERANGAN DDOS PADA JARINGAN SMART HOME IPV6 MENGGUNAKAN METODE RANDOM FOREST

YUDHA, ARDI TRI and Stiawan, Deris and Hermansyah, Adi (2025) DETEKSI SERANGAN DDOS PADA JARINGAN SMART HOME IPV6 MENGGUNAKAN METODE RANDOM FOREST. Undergraduate thesis, Sriwijaya University.

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Abstract

DDoS attacks are one of the most common network security threats on the internet. This attack utilizes various sources to send excessive traffic to a server, resulting in system disruption. This makes DDoS a serious threat to IPv6-based topologies and infrastructure. This study uses a dataset from COMNETS Smart Home IPv6, which consists of two types of classes, namely benign and DDoS, to detect DDoS attacks using the Random Forest method. The results of the study show that the Random Forest method is an effective technique in detecting DDoS attacks and has good overall performance with an accuracy of 90.74%, precision 100%, recall 81.60% and f1_score 89.87%.

Item Type:	Thesis (Undergraduate)
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:	Ardi Tri Yudha
Date Deposited:	25 Mar 2025 01:51
Last Modified:	25 Mar 2025 01:51
URI:	http://repository.unsri.ac.id/id/eprint/170026

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