JSI: Jurnal Sistem Informasi (E-Journal)
Vol 15, No 1 (2023)

Perbandingan Kinerja Kernel RBF dan Linear pada Algoritma Support Vector Machine (SVM) untuk Prediksi Serangan Ransomware Locker

Nurul Afifah (Universitas Sriwijaya)
ali bardadi (Universitas Sriwijaya)

Article Info

Publish Date
25 Jun 2023

Abstract

Ransomware is one type of Malware that is very dangerous. The way Ransomware works is to infiltrate and then be able to duplicate files that run on the Windows operating system. Ransomware encrypts and locks onto a file system very quickly. Ransomware will give a notice by telling how to open the file system by making a payment via cryptocurrency. Ransomware is very detrimental to users. One type is Ransomware Locker. Ransomware locker is very dangerous, therefore it is necessary to make a prediction model about Ransomware Locker attacks. Several Machine Learning methods are able to solve prediction system problems, one of which is the Support Vector Machine (SVM) method. To get the best model in prediction, it is necessary to do a comparison between two SVM kernels namely RBF and Linear. As a result, the SVM RBF method was able to produce excellent performance, namely 93.27% for AUC Train and 93.41 for AUC Test

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Journal Info
JSI: Jurnal Sistem Informasi (E-Journal)
Website

Abbrev

jsi

Publisher

Universitas Sriwijaya

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Library & Information Science Other

Description

Journal Of Information Systems or abbriviated as JIS is a jorunal that published by Major Of Information Systems Faculty of Computer Science Sriwijaya University. JSI start published in April 2009, which is VOL 1 NO 1 2009. JSI published a journal twice in year , that is on April and October. The ...