Skripsi

KLASIFIKASI MALWARE BANKING PADA ANDROID DENGAN METODE SUPPORT VECTOR MACHINE

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Penilaian

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Malware classification is a way to recognize types of data that are classified as malware or normal files. Banking Malware is a type of trojan that aims to deceive bank customers and financial institutions, allowing victims to transfer funds from the victim's account to the attacker's account. The purpose of this study is to obtain the best level of accuracy in the classification of Banking Malware using a support vector machine method using a dataset from the University of New Brunswick, namely the CICMALDROID2020. The extraction feature in the study uses the CICFlowMeters tool to convert files into ready-to-process files. This research also uses a feature selection extra-tree classifier which aims to select the best features. The results of the classification using the support vector machine method show fairly good results, namely an accuracy value of 87% which indicates the accuracy in the classification of banking malware attacks in this study.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002397	T47745	T477452021	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T477452021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2021

Collation

xvii, 65 hlm,: ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

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)

Prodi Sistem Komputer
Malware, Virus Komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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