DETEKSI SERANGAN DDOS PADA IPv6 MENGGUNAKAN METODE PENGKLASIFIKASIAN SUPPORT VECTOR MACHINE

PUTRA, MUHAMMAD ABIMANYU IWARI RAMA and Heryanto, Ahmad and Septian, Tri Wanda (2023) DETEKSI SERANGAN DDOS PADA IPv6 MENGGUNAKAN METODE PENGKLASIFIKASIAN SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

DDoS attack is one of the security threats frequently experienced on the internet, which utilizes multiple sources to send excessive traffic to a server, causing system failure, making DDoS a significant threat. To detect attacks, this research seeks to find parameters that play a significant role in the DDoS dataset. Therefore, feature selection is applied, namely the Random Forest Classifier (RFC), which is then combined with classification using the Support Vector Machine (SVM) method. In this study, the researchers use a self-made dataset.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	SERANGAN DDOS
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA158.7 Computer network resources Including the Internet
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Abimanyu Iwari Rama Putra
Date Deposited:	30 Mar 2023 02:14
Last Modified:	30 Mar 2023 02:14
URI:	http://repository.unsri.ac.id/id/eprint/91847

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