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KLASIFIKASI ANDROID MALWARE MENGGUNAKAN ALGORITMA PRINCIPAL COMPONENT ANALYSIS (PCA) DAN RANDOM FOREST

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Penilaian

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More and more parties are harmed because currently malware can infect almost all operating systems. One type of Android malware is MazarBot. Mazarbot is very dangerous because when it is installed on a device it can access, spy on and control the device secretly remotely. That way the attacker can manipulate and do whatever he wants because he gets full access to the victim's device. The Random Forest method can be applied in classifying Android Malware. Where the Android Malware classification focuses on Mazarbot and Benign malware using a dataset called CICAndMal2017. In addition, the Principal Component Analysis (PCA) method is also applied in this study, its function is to reduce the number of high data dimensions to lower data dimensions. The accuracy results obtained by applying the Random Forest method is 92.06%. Meanwhile, the accuracy of using a combination of the Random Forest method with PCA is 82%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000050	T39483	T394832020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T394832020

Publisher

Inderalaya : Jurusan Sistem Informasi, FASILKOM UNSRI., 2020

Collation

xiv, 60 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.84

Content Type

Text

Media Type

other

Carrier Type

-

Edition

-

Subject(s)

Sistem komputer
Malware-Virus Komputer

Specific Detail Info

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Statement of Responsibility

NO

Other version/related

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