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VISUALISASI POLA SERANGAN BRUTE FORCE DENGAN ALGORITMA SUPPORT VECTOR MACHINE

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Penilaian

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Brute force is one of many attacks that are often used by hackers in carrying out the cyber crimes. For recognizing the attack patterns visualization is carried out, so that in presenting this research, looking for attack patterns using parallel coordinates and support vector machines as the classification. In this study, the SVM classification uses several kernels which later will be compared with the highest average values, namely, radial basis function kernels, linear kernels, polynomial kernels, and sigmoid kernels. In the classification using the Support Vector Machine (SVM) method to determine accuracy, precision, recall and F1-score using the confusion matrix technique. In this study using the CIC-IDS2017 dataset, after the research was carried out the Radial Basis Function kernel became the kernel with the best average value.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001314	T89891	T898912023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T898912023

Publisher

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

Collation

xi, 78 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

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)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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