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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507001996	T170026	T1700262025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1700262025

Publisher

: Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

viii, 41 hlm.; ill.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

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Media Type

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Carrier Type

-

Edition

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Subject(s)

Ilmu Komputer

Specific Detail Info

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Statement of Responsibility

EM

Other version/related

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