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SELEKSI FITUR UNTUK MENEMUKAN POLA FITUR TERBAIK PADA SISTEM PENDETEKSI SERANGAN DDoS DENGAN MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

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Penilaian

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DDoS is one of many attacks used by hackes in carrying out cyber crimes. As for knowing attacks detectors, in presenting this research looking for parameters that play a major role ini the DDoS dataset, it is necessary to apply a feature selection. In the application of feature selection using several selection, namely Random Forest Classifier (RFC), Mutual Information Classifier (MIC), Correlation Based Selection (CBS) and Lasso Regularization Regression (LRR). Then the classification uses Support Vector Machine (SVM) method, to determine accuracy, precision, recall and F1-score using confusion matrix technique. In this study using the CIC-IDS2017 dataset, after the research was carried out the Random Forest Classifier (RFC) feature selection became the best feature selection

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000600	T85573	T855732023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T855732023

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 100 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.268 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 Komputer
Pemrograman untuk sistem operasi tertentu

Specific Detail Info

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Statement of Responsibility

SEPTA

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