KLASIFIKASI MALWARE TROJAN BANKING PADA ANDROID MENGGUNAKAN METODE ALGORITMA SUPPORT VECTOR MACHINE

LESTARI, NI KOMANG TRI and Heryanto, Ahmad and Oklilas, Ahmad Fali (2021) KLASIFIKASI MALWARE TROJAN BANKING PADA ANDROID MENGGUNAKAN METODE ALGORITMA SUPPORT VECTOR MACHINE. Undergraduate thesis, Sriwijaya University.

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Abstract

Malware sangat berbahaya karna dapat merugikan banyak orang, salah satu malware yang sangat berbahaya ini adalah Malware Trojan Banking yang dirancang untuk mencuri uang langsung dari rekening bank para pengguna PC maupun mobile. Kehidupan kita yang semakin mobile, aplikasi perbankan dengan cepat menjadi metode yang tepat untuk mengelola keuangan. Pembuat malware yang termotivasi oleh keuntungan finansial ini dengan cepat mengadaptasi dan mengggunakan alat dan teknik mereka untuk mendapatkan keuntungan. Metode Algoritma Support Vector Machine dapat dilakukan untuk melakukan klasifikasi Malware Trojan Banking pada Android, dimana klasifikasi malware Trojan Banking pada Android ini berfokus pada Malware Trojan Banking dan Benign. Dataset yang digunakan bersumber dari internet tepatnya di CICMaldroid 2020, hasil akurasi dengan menerapkan Algoritma Support Vector Machine ini adalah 95.268%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Klasifikasi, Trojan Banking, Malware, Android, Support Vector Machine.
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Users 5576 not found.
Date Deposited: 30 Nov 2021 03:52
Last Modified: 30 Nov 2021 03:52
URI: http://repository.unsri.ac.id/id/eprint/58222

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