Skripsi

DETEKSI SERANGAN DDOS PADA IPv6 MENGGUNAKAN METODE PENGKLASIFIKASIAN SUPPORT VECTOR MACHINE

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001362	T91847	T918472023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T918472023

Publisher

Indralaya : Jurusan Sistem Informasi, Fakultas Ilmu Komputer, Universitas Sriwijaya., 2023

Collation

xiv, 99 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.8 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Sistem Informasi
Keamanan Komputer

Specific Detail Info

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Statement of Responsibility

ANUG

Other version/related

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